Scribd Jobs

About Everand Everand, a Scribd Inc company, is a destination for stories and knowledge offering millions of ebooks, audiobooks, and more. This global library includes bestselling and iconic titles, alongside diverse voices and emerging talent. We are seeking a creative and proactive Social Media Manager based in Mexico to take charge of our brand's social media accounts for the Mexican audience. This role involves not just managing day-to-day content, but also fostering a thriving online community that aligns with Everand's mission. You will work closely with our local team in Mexico to understand the cultural nuances and preferences of the audience, while also collaborating with our US-based team to ensure brand consistency and strategic alignment. Location: Must be based in Mexico Hours: 20-35 hours a week Pay: $10-$20 USD per hour This is a part-time, contract position ideal for someone with a strong understanding of social media trends, community building, and a passion for storytelling. Key ResponsibilitiesOversee and manage Everand's social accounts targeting the Mexican market starting with Instagram.Develop and execute a forward-thinking content strategy that aligns with Everand's global brand voice and business objectives, driving measurable impact on user engagement and growth.Ideate and schedule posts featuring dynamic visuals and compelling, culturally relevant copy.Respond to comments, messages, and interactions promptly to build meaningful relationships with our audience.Monitor community feedback, flag emerging trends, and share insights with the local and US teams for continuous improvement.Collaborate with the local team to align content and strategies with the preferences of the Mexican audience.Coordinate with the US marketing and communications team to maintain consistency with Everand's global branding voice and objectives.Stay updated on the latest social media and industry trends to ensure our strategy remains fresh and engaging.Generate monthly reports on account performance, audience engagement, and growth metrics. QualificationsProven experience in social media management, with a track record of growing and engaging online communities (Instagram focus preferred).Exceptional copywriting skills, with the ability to create impactful, audience-specific messaging.A deep appreciation for literature and storytelling, with the ability to authentically connect with book lovers, content creators and writers across various genres and platforms.Demonstrated success in managing, growing, and maintaining the online presence of global or tech brands with a portfolio of campaigns that showcase creativity and measurable impact.Strong understanding of social media trends, ideally with insights into Mexican cultural and language nuances.Creative mindset with an eye for visuals and an ability to manage effective content calendars.Excellent organizational and time-management skills to juggle multiple priorities and deadlines in a part-time role.Ability to work both independently and collaboratively, connecting with teams in multiple locations (Mexico and the US).Proficiency in Spanish (native-level fluency) and English (professional level) for seamless communication and collaboration. What we offer Flexible part-time schedule allowing you to work remotely from anywhere in Mexico. Collaborative and inclusive work environment that encourages creativity and initiative.Opportunity to connect with passionate professionals in both Mexico and the US while shaping Everand's presence in a vibrant market.Competitive pay between $10-$20 USD per hour, depending on experience. If you are enthusiastic about building a meaningful online community, understand how to adapt global branding to resonate locally, and love books and storytelling, we'd love to hear from you. Join us in bringing Everand to life for Mexican audiences! To Apply Please send your resume, portfolio with examples of social media work, and a brief cover letter explaining your experience and interest in this role.

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. We are looking for Artificial Intelligence interns to work on our massive semi-structured text, graph and user activity data sets. This internship will specialize in Optimization. The role will focus on optimizing AI models and algorithms for performance and efficiency on GPU hardware, enabling LinkedIn to scale and enhance its machine learning applications. As part of this team, you'll work with deep learning frameworks and help drive innovation in high-performance AI systems. Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2025 or later. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Our internship roles will be based in Mountain View, CA; or other US office locations. Our internships are 12 weeks in length and will have the option of two intern sessions: • May 27th, 2025 - August 15th, 2025 • June 16th, 2025 - September 5th, 2025 Responsibilities: • Optimize and accelerate machine learning algorithms and AI models using CUDA, ensuring efficient use of GPU hardware for high-performance computing. • Develop and fine-tune GPU-accelerated machine learning solutions that power LinkedIn's large-scale AI applications, including recommendations, personalization, and search. • Collaborate with engineering and AI research teams to implement CUDA optimizations in existing models, enhancing both training and inference speeds. • Conduct research on GPU optimization techniques and apply them to complex machine learning challenges, including deep learning architectures and large-scale data processing. • Stay updated with the latest developments in GPU computing, deep learning frameworks (e.g., TensorFlow, PyTorch), and parallel programming to continuously improve performance. • Work in a highly collaborative environment with mentors, business experts and technologists to conduct independent research and help deliver intuitive solutions to our products and services Basic Qualifications: • Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, with a focus on GPU optimization, or related technical field and returning to the program after the completion of the internship • Experience with CUDA programming, GPU architectures, and parallel computing techniques. • Experience in deep learning frameworks like TensorFlow, PyTorch, and familiarity with their GPU implementations. • Understanding of machine learning and AI algorithms, with hands-on experience in model training and optimization. Preferred Qualifications: • Experience in optimizing large-scale deep learning models for GPU environments, focusing on both training and inference phases. • Experience with NVIDIA GPUs, cu DNN, or other GPU libraries and tools. • Problem-solving skills and ability to work on complex AI optimization challenges in a fast- paced environment. • Publication record in high-performance computing, GPU optimization, or related AI/ML conferences (e.g., NeurIPS, ICML, SC). • Hands-on experience with deploying and scaling GPU-accelerated models in production. • Experience in Python, and experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Excellent communication skills Suggested Skills: • Machine Learning and Deep Learning • Advanced Data Mining • Strategic thinking and problem-solving capabilities LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $57 - $70 per hour. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Job Description At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid or remote work options, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or this role can be performed remotely in most locations in the country of employment LinkedIn is looking for a Technical Fellow with expertise in AI to provide thought leadership for engineering organizations. As an AI Technical Fellow at LinkedIn, you will architect and lead the next generation of AI solutions that powers everything LinkedIn does. From consumer to enterprise, from search to recommendation, from optimization to building knowledge graph, LinkedIn relies on innovative AI research and applications that you will help us build. As a key leader in the organization you will lead research, design algorithms, build software, anticipate and influence the state of the art in the industry, and leverage and create open source software in the process. Responsibilities: Lead research in advanced AI, majorly focusing on mid/long-term research topics Envision and develop an AI research agenda that (1) is consistent with LinkedIn's overall strategy; (2) supports a large pipeline of opportunities for which these technologies are critical; (3) addresses major and emerging AI challenges and advances the state of the art Provide senior technical direction to working teams and inspire a larger community from across engineering working on AI. Publish, present, and contribute as a thought leader in the field of AI. Be a talent magnet for LinkedIn. Advise LinkedIn executives on a broad range of technology, strategy, and policy issues associated with AI. Not just develop evidence of the validity and utility of research projects (e.g. through MVP or prototypes), but equally drive and work with relevant engineering teams to design and build the AI components that deliver value to members and customers. Identify problems and opportunities and lead teams to research, architect, design and operationalize AI solutions. Be part of the Data/AI Leadership team contributing to the overall strategy & roadmap considerations Evangelize and inspire best practices across a large AI engineering surface area Establish a culture that values diverse viewpoints while navigating complex decisions Lead by example to build a culture of craftsmanship and innovation. Provide mentorship to our AI talent across the team to help them grow technically and professionally. Assume hands-on leadership, especially when helping teams resolve complex problems Basic Qualifications: PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience 10+ years of relevant work or academic experience Experience leading technical research projects with multiple stakeholders Preferred Qualifications: 15+ years of experience in research and design of AI solutions with at least 5 of those years in a technical or scientific leadership position Experience in designing and implementing large scale AI platforms. Experience in leading large scale AI development projects from concept to multiple releases in production Familiarity with multiple open source machine learning frameworks (pytorch, tensorflow, onnx etc.), and languages (C++, Python, etc.) Experience leading high-impact, cross-company initiatives Established track record of excellence in relevant research areas Suggested Skills: Mentoring Technical Leadership Machine learning LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $260,000 to $480,500. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock and benefits. For additional information, visit: ************************************* Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, connecting professionals globally and creating economic opportunities for every member of the workforce. Our commitment to maintaining the highest standards of security and compliance is crucial to building trust with our members and partners. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Job Overview We are seeking a dynamic and experienced Senior Director to lead the Engineering Compliance & Governance team within the Information Security team at LinkedIn. As a key player in our security strategy, you will drive the development and implementation of robust compliance and governance programs, ensuring the security and integrity of our systems and data. Lead the development and implementation of risk management strategies, integrating control compliance. Oversee internal and external audits to assess the effectiveness of security and compliance controls, including, PCI, NIST, SOC 2, ISO, SOX, NFD, MRC, DSA, DMA and AI Governance. Be a trusted advisor to R&D teams to help them build systems that are secure and compliant with applicable laws and regulations Collaborate with cross-functional partner teams (Eng & Product teams, Legal and Financial compliance teams, Sales, etc.) to enhance governance, risk, and compliance frameworks, building strong relationships with LinkedIn and Microsoft stakeholders. Support LinkedIn's enterprise customers across the globe, increasing customer trust through security and privacy consultation and strategically meeting customer security requirements. Key Deliverables and Measures of Success (Next 12 months) Successfully maintain compliance and manage multiple audit regimes annually, including PCI, NIST 800-53, SOC 2, ISO, SOX, NFD, MRC, DSA, DMA, AI Governance and others. Evolve security policy governance and drive development and adoption of security policies, standards, and the common control framework. Further mature risk management by improving the risk management framework. Operationalize business continuity and resilience (BC&R) programs across all of LinkedIn. Continuously evaluate and improve compliance processes and procedures to ensure that they remain effective and efficient over time. Automate engineering controls as well as compliance operations. Automate enterprise customer security and privacy requests through the evaluation of tools and solutions. Basic Qualifications 12+ years of experience in information security & risk governance frameworks and technology operations best practices across Technology and Financial industries. At least 10 years in a senior leadership position managing engineering teams at scale. Proven experience managing data systems at scale, with an emphasis on data quality, governance, and compliance. Expertise in compliance frameworks such as PCI, NIST 800-53, SOC 2, ISO, SOX, NFD, MRC, DSA, DMA and AI Governance. Experience leading compliance teams at similar scale and size of LinkedIn including managing service providers and audit firms Preferred Qualifications Engineering mindset or background. Experience working in collaboration with legal and finance compliance teams to design and implement data compliance solutions. Prior experience working in large-scale cloud or enterprise environments with a strong focus on data security and compliance. Deep knowledge of regulatory technology and trends, especially in relation to data engineering and governance. Strong technical acumen in engineering risk and compliance frameworks. Excellent communication skills. Strong collaborator and executive presence. “Suggested Skills” -Information security -Risk governance -Leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $209,000 to $343,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits and/or other applicable incentive compensation plan. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options. This means you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or you can work remotely from most locations within the country listed for this role. At LinkedIn, our Foundational AI Technologies (FAIT) organization stands as the innovation epicenter, addressing the fundamental AI challenges and the force behind LinkedIn's next-generation AI-driven member experiences. Our mission spans across the entire marketplace, leveraging our expertise in data curation, algorithm development, and robust infrastructure to spearhead AI innovations. We are dedicated to creating a transformative impact on all LinkedIn products, establishing the platform as a leader in the AI realm. As part of the FAIT team, you will be at the heart of building foundation models that redefines the way LinkedIn understands and interacts with its entities across various marketplaces. While we build these models, we will be processing massive scale LinkedIn data sets and debug the most intrinsic user problems and scientifically challenging model understanding puzzles. You will be driving LinkedIn's AI direction, unblock massive scale projects with your expertise in neural networks and machine learning at the same time interact with partner teams within FAIT and across the company to realize these AI innovations. As a Principal Staff Engineer in the Foundational AI Technologies team, you will act as the primary domain expert, and you will research, develop, build and ship cutting edge AI technologies. You are expected to provide technical leadership, and drive architectural decisions and implementation across the engineering organization. This individual will be a core member of LinkedIn's Foundational AI Technologies team and will partner closely with other verticals in Data and AI, and Infrastructure teams. This is a rare opportunity to lead initiatives at the cutting-edge of Data and AI, which benefits every product and team at Linkedin and over 1 Billion members of the global workforce. Responsibilities Build Foundation Models, customizing it to uniquely comprehend LinkedIn's diverse marketplace entities. Unblock massive scale projects with your expertise in neural networks and machine learning Enhance the AI system's ability to understand LinkedIn members' interests, intents, and behaviors. You will act as the primary domain expert to influence technology choices You will research and develop cutting edge AI technologies You will build and ship scalable software for AI tasks You will drive architectural decisions and implementation across the engineering organization You will provide technical leadership to cross-functional teams and drive alignment on technology strategy You will establish a culture that values diverse viewpoints while navigating complex decisions You will partner effectively with leads (ICs and managers) from other AI teams You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices Lead by example to build a culture of craftsmanship and innovation Be an industry thought leader. Represent LinkedIn in relevant industry forums Basic Qualifications BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience 7+ years of industry experience in software design, development, and algorithm related solutions. 7+ years experience programming languages such as Python, etc. 5+ years in an architect or technical leadership position Background in the following areas: Machine Learning and Artificial Intelligence Preferred Qualifications Experience in bringing large scale AI systems to production. PhD in Computer Science, Machine Learning, Statistics or related fields 8+ years of experience in AI/Data Science and Machine Learning Strong academic credentials with publications in top-tier journals and conferences Background in one or more of the following areas: deep learning, information retrieval, knowledge graph, natural language processing, optimization Experience in building large scale AI models and systems Experience in large language models and deep neural network solutions Demonstrated ability to work with peers in engineering across teams to set technical directions Excellent communication and presentation skills Suggested Skills: Deep learning Machine learning Large language models Data Science Information Retrieval LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $207,000 to $340,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************* Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role will be based in New York, NY and will sit alongside our Video Engineering team. As a senior AI leader in NY, you will help lead the buildout of our AI presence in the New York office. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. This is a full-time engineering role based in New York, NY. The Video AI team sits at the heart of our LinkedIn's ambitious growth strategy. Our team is a dynamic group of machine learning experts dedicated to revolutionizing the way we interact with video content. This team is at the forefront of developing cutting-edge artificial intelligence technologies that enhance video understanding, search, and personalization. By leveraging state-of-the-art AI techniques, the Video AI team is poised to open up new ways of engaging with videos on LinkedIn. Our work encompasses a range of applications, from real-time video analytics to intelligent content recommendation systems, positioning our company as a leader in the rapidly evolving landscape of video technology. As LinkedIn continues to revolutionize our market presence, the Video AI team's expertise will be instrumental in shaping our product offerings and achieving our strategic goals, ensuring we stay ahead of the competition and deliver unparalleled value to our 1 billion+ global users. Below are a few examples of the problem spaces we work in (and much more!): • Video Understanding: Building state of the art content understanding models and content embeddings to power all video use cases. • Video Feed Personalization: Identifying the most engaging content and distributing to users. • Video Search: Tackling the multimodal search problem, delivering videos that provide the highest user value. • Video Safety: Safeguarding users from malicious actors and content, building an open and safe community for all. Responsibilities: • Participate in key technical and design discussions with technical leads in the team. • Collaborate with application engineering, product, and partner teams to design machine learning solutions. • Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments. • Attract world class talent and provide technical guidance, career development, and mentoring to team members. Basic Qualifications: • BA/BS in Computer Science or other technical discipline, or related practical technical experience • 7+ years of related industry experience • 5+ year of experience machine learning, data mining, and information retrieval or natural language processing • 3+ years of experience in software engineering/technical engineering management and people management • Hands on experience in data modeling and machine learning Preferred Qualifications: • MS or PhD in Computer Science, Machine Learning, Statistics or related fields • 5+ years of experience in software engineering/technical engineering management and people management • 9+ years of hands on experience in data modeling and machine learning Suggested Skills: Machine Learning People Management Change Management You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $233,000-$315,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role will be based in Mountain View, California. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. LinkedIn is looking for a Staff TPM in its Developer Platforms and Experiences (DPX) organization. The DPX organization is a fast paced, global and dynamic organization that is responsible for accelerating R&D Velocity at LinkedIn. With all of LinkedIn engineering as customers of the DPX organization, it's essential that the candidate has a very strong technical background. The current TPM team supporting the DPX organization is a very senior team of individuals who partner closely with our most senior leaders (Director+, Senior & Principal Staff engineers) to drive the most critical programs in the organization while also partnering closely with TPMs and leaders outside the DPX organization. Responsibilities: • Support multiple cross-functional technical teams to deliver their objectives in fast-paced and complex programs and projects • Develop strong partnerships with engineering leaders to drive focus on strategic and tactical program objectives • Own and manage program and portfolio planning, execution of roadmap, and engineering operations for multiple verticals • Drive alignments and prioritization across all technology initiatives, manage roadmap for a single consistent view and lead communications • Build strategic relationships with key technology and business leaders to ensure program success • Drive teams and individuals in planning and executing roadmaps, releases, and work backlogs • Lead efforts to identify risks, resolve key project conflicts, and establish appropriate resolution paths • Fill in gaps across roles and functions as needed, performing as an adaptive problem solver • Report on project status or portfolio roadmap, risks, issues and mitigation plans • Create a collaborative work environment that fosters shared understanding, transparency, mastery, autonomy, innovation and continuous learning • Coach and mentor others in the best practices of modern planning and execution Basic Qualifications: • B.S./B.A. Engineering, Computer Science or related technical field, or equivalent practical experience • 5+ years professional experience in an engineering or technical team, managing technical programs/projects Preferred Qualifications: • Experience managing company wide, large scale, high impact programs • Proven success on establishing organization-wide processes and communication framework for R&D initiatives • Direct work experience in a technical project management capacity to drive large technical initiatives including all aspects of process development and execution • Knowledge of complex technical ecosystems and adequate technical depth • Experience managing multiple major and concurrent projects/programs executed through multiple geographic locations • Direct experience working with software engineering leadership, technical teams and individual contributors • Ability to quickly adapt to faster pace, shifting priorities, demands, and timelines through analytical and problem-solving capabilities • 2+ years of hands-on software development experience Suggested Skills: • Cross Functional Collaboration • Agile Methodologies • Program Management You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $134,000 to $221,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role will be based in Sunnyvale. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 900 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. It is expected that this person understands experimentation and/or machine learning techniques to be able to implement from scratch and have the ability to extend and enhance these techniques to specific applications like business problems. Successful candidates will exhibit technical acumen on inference and algorithms, and the business savviness to use these technical skills to drive better business decision-making. Responsibilities: • Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them. • Analyze large-scale structured and unstructured data. • Conduct in-depth and rigorous data science research, model improvement, advanced experiments, observational causal studies to quantify the cause and effect in the ecosystem, identify business opportunities and to drive member value and customer success. • Develop methodologies to enhance LinkedIn's product and platform capabilities. • Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights • Promote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn. • Improve LinkedIn's ability to measure and credibly speak to labor market trends and other economic phenomena. • Initiate and drive projects to completion independently • Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals • Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company • Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews Basic Qualifications: • Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. • 3+ years of industry or relevant academia experience • Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl) • Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python) Preferred Qualifications: • BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience • MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. Suggested Skills • Machine Learning • Research • Causal Inference You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $128,000.00 to $210,000.00 Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn's vision is to create economic opportunities for every member of the global workforce. It was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Job Description At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. LinkedIn Marketing Solutions (LMS) is the largest and fastest growing scaled B2B Advertising Platform in the world, with revenue north of $6B+. We help organizations grow. The LMS AI Engineering Team leverages science and engineering to maximize the power of data and is responsible for the AI technology fueling our Ads business - building and scaling the technology stack that powers our advertising business including advertiser experiences, ad serving platform, and ad products. As a Director of Engineering- AI, you will be responsible for leading a team of world class applied researchers and ML/AI engineers who are solving cutting-edge AI problems to empower large & small businesses to reach, engage, and convert professional audiences at scale. You'll be responsible for building a strong technology-driven culture, overseeing some of the most talented scientists and engineers on the planet, and helping them to pursue their passion and transform their careers. You will develop a strong bench of talent across people and technical leadership, and help the team build industry leading AI solutions for the advertising ecosystem. Responsibilities: You will build and ship software, drive architectural decisions and implementation across LMS teams. You will drive the adoption of cutting-edge solutions and methods to enable innovative marketing solutions products. You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. You will lead cross team/cross-functional discussions and drive alignment on product/technology strategy. You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. You will act as one of the primary domain experts to influence technology choices. You will lead by example to build a culture of craftsmanship and innovation. Qualifications Basic Qualifications Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields 5+ years of experience in management positions Preferred Qualifications Strong background in AI/ML techniques with applications to the Advertising domain. A proven track record of delivering end-to-end solutions for high QPS systems, working with massive amounts of high frequency data. Experience managing teams of 40+ individuals and first/second-line managers. Ability to lead by example and inspire the team to perform at a high level, and collaborate very well across different teams. Good understanding of large-scale engineering systems and some or all of big data technologies like Hadoop, Spark, distributed key-value stores, streaming processes, recommender systems, statistical methods, and experimental design. Highly motivated and able to work with ambiguous fast-changing problem landscapes, convert vague and ill-defined problems into well-defined problems, take initiative and encourage consensus building across partners. Strong leadership abilities in order to communicate and drive cross-functional efforts. Good relationship building and people skills. Publications at conferences and patents are highly desirable. Suggested Skills: * People Leadership * Ads experience * AI/ML experience You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $218,000 to $357,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It's through our flexible work benefit, Scribd Flex, that employees - in partnership with their manager - can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location. So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here's what that means for you: we're looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude. About the Role We're seeking an experienced Paid Social Lead to join our performance marketing team, focusing on scaling our presence across Meta, TikTok, Pinterest, and emerging social platforms for the Everand brand. This role will be instrumental in driving user acquisition and brand awareness through innovative social advertising strategies. What you'll do: Own and optimize multi-million dollar paid social advertising budgets across Meta, TikTok, Pinterest, and other social platforms Develop and execute comprehensive paid social strategies aligned with our growth objectives and brand guidelines Lead creative testing initiatives and collaborate with our creative team to develop high-performing ad content Build and maintain sophisticated audience targeting frameworks across platforms Analyze campaign performance, conduct A/B tests, and leverage data insights to optimize LTV:CAC Stay ahead of platform changes and new features, implementing beta opportunities when available Partner with data science team to develop attribution models and measure incremental lift Responsible for regular analytics and reporting; effectively communicating performance, wins, and challenges Partner with the product development and engineering teams to develop data feeds and LTV signaling pipelines Partner with other marketers to ensure integration of Paid Social into our overall growth strategy Who you are: 7+ years of experience managing large-scale paid social campaigns, with at least 3 years focused on subscription or D2C products Proven track record of scaling social advertising spend efficiently while maintaining or improving LTV:CAC Deep expertise in Meta Ads Manager, TikTok Ads, and Pinterest Ads platforms Strong understanding of conversion optimization, audience targeting, and creative testing methodologies Experience with social media attribution models and incrementality testing Excellent analytical skills with proficiency in data visualization tools Track record of cross-functional collaboration and stakeholder management Preferred Qualifications Experience marketing subscription products or digital content services In-depth understanding of automated bid strategies with experience optimizing towards CPAor ROAS goals. Deep understanding of incrementality Familiarity with mobile app marketing and app store optimization Experience with budget planning and forecasting Google Tag Manager experience a plus At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $131,500 to $212,750. In the United States, outside of California, the reasonably expected salary range is between $108,500 to $202,500. In Canada, the reasonably expected salary range is between $150,500 CAD to $201,750 CAD. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Benefits, Perks, and Wellbeing at Scribd *Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work. • Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees • 12 weeks paid parental leave • Short-term/long-term disability plans • 401k/RSP matching • Onboarding stipend for home office peripherals + accessories • Tuition Reimbursement • Learning & Development programs • Quarterly stipend for Wellness, Connectivity & Comfort • Mental Health support & resources • Free subscription to Scribd + gift memberships for friends & family • Referral Bonuses • Book Benefit • Sabbaticals • Company wide events • Team engagement budgets • Vacation & Personal Days • Paid Holidays (+ winter break) • Flexible Sick Time • Volunteer Day • Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Want to learn more about life at Scribd? ************************************ --------------------------------------------------------------------------------------------------------------------------- We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations [@] scribd.com about the need for adjustments at any point in the interview process. Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. --------------------------------------------------------------------------------------------------------------------------- Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, DC, Florida, Georgia, Hawaii, Maryland, Massachusetts, Michigan, Missouri, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Washington, Ontario (Canada), British Columbia (Canada), or Mexico #LI-Remote

Senior Staff Engineer, Core AI HALO - Human Intelligence, Annotation, Localization and Operations LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. Team Overview: In this role, you will be a core member of LinkedIn's CORE AI team and will partner closely with other verticals in Data and AI organization and other Product teams. You'll be driving and managing all data curation and annotation efforts across LinkedIn. You'll be at the forefront of transforming how we evaluate our most cutting-edge AI based products leveraging LLMs to enhance our processes. You will oversee the development and improvement of the tools and platforms that support these activities. Success in this role hinges on building strong partnerships. You'll work closely with teams across the company, ensuring their data requirements are met swiftly and effectively. Your vision, leadership, and strategic mindset will be critical as we push the boundaries of what's possible. Location: At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. This role will be based in Sunnyvale, CA. Responsibilities: Work with large-scale data to build systems which will leverage and support new techniques for evaluating AI based products Provide technical leadership to junior engineers and collaborator orgs, drive and perform best engineering practices to initiate, plan, and execute large-scale, cross-functional critical projects. Hold the team to a high ML craftsmanship bar and actively reduce ML tech debt, designing systems that scale with algorithms and with time, and improve engineering productivity. Partner with data science & analytics teams, product & infrastructure teams to build new innovative ideas to improve member experience. Bring together industry research and develop opportunities to contribute back to industry research Basic Qualifications: 5+ years of industry experience in software design, development, and algorithm related solutions 2+ years in a Lead, Staff, Principal, Architect, or similar technical Leadership position. BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience Experience with Machine Learning or Recommendation Systems Preferred Qualifications: 10+ years of experience, including extensive work with leading solutions related to evaluation of complex systems, AI/Machine Learning and/or experimentation Masters or PhD in Computer Science, Machine Learning, Statistics, Economics and related fields Background in one or more of the following areas: experimentation, large scale evaluations, machine learnings, deep learning, Large Language Models (LLM) Demonstrated ability to work with peers in engineering across teams to set technical directions Suggested Skills: Model Evaluation AI Product Development Technical Leadership ---- You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. Compensation Disclosure: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $233,000 - $315,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement: LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It's through our flexible work benefit, Scribd Flex, that employees - in partnership with their manager - can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location. So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here's what that means for you: we're looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude. About the Team The mission of the business strategy & analytics team is to ensure the entire company understands business performance and trends, and to empower all business teams to make good decisions with data. The User Generated Content (UGC) Pillar vision and mission is to inspire the world through stories and knowledge by being the largest and most accessible library that connects storytellers with their audience. Every month, hundreds of millions of people come to Scribd and SlideShare, our UGC products, to grow themselves personally and professionally. About You You are a highly motivated and analytical individual who loves solving ambiguous business problems. You thrive in a fast-paced and collaborative environment, where you can leverage your strong communication skills to effectively interact with executives, stakeholders, and cross-functional teams. You are a strategic thinker who can balance big-picture objectives with attention to detail, and you possess a natural curiosity to explore complex problems and find innovative solutions. You Will: • Collaborate with the product team to develop and execute data-driven experiments and A/B tests, focusing on UGC initiatives. • Conduct in-depth analysis of user behavior, conversion rates, and content performance to identify growth opportunities and inform product and search and recommendation optimization strategies. • Provide actionable insights and recommendations to key stakeholders based on statistical analysis and data interpretation. • Develop and maintain advanced dashboards, reports, and visualizations to track and communicate critical key performance indicators (KPIs) and performance metrics. • Work closely with stakeholders to define and track KPIs and design Product Analytics roadmap to drive UGC strategy. • Work closely with engineering teams to ensure accurate data collection and instrumentation, providing guidance on tracking implementation and data integrity. • Collaborate with the data engineering team to refine and enhance data infrastructure and architecture to support advanced analytics and reporting capabilities. You Have: • Proven experience (2+ years) in product analytics, preferably in a high-velocity product environment, with a track record of delivering impactful insights and driving growth. • Understanding of statistical analysis methods, experimental design, and hypothesis testing. • Experience with A/B testing methodologies, funnel analysis, cohort analysis, and other advanced analytics techniques. • Strong proficiency in data visualization tools such as Tableau, Looker, or similar tools to create compelling dashboards and reports. • Expertise in programming languages such as Python or R, as well as proficiency in SQL for data extraction and manipulation. • Self-motivated, proactive, and able to work effectively both independently and collaboratively in a dynamic, fast-paced environment. • Excellent communication and presentation skills, with the ability to convey complex findings and insights to non-technical stakeholders in a clear and actionable manner. • Strong problem-solving skills and the ability to think critically, ensuring accuracy and attention to detail in all analyses. • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. A Master's degree is a plus. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $92,500 [minimum salary in our lowest geographic market within California] to $149,500 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $76,000 [minimum salary in our lowest US geographic market outside of California] to $142,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $95,500 CAD [minimum salary in our lowest geographic market] to $142,000 CAD [maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Benefits, Perks, and Wellbeing at Scribd *Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work. • Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees • 12 weeks paid parental leave • Short-term/long-term disability plans • 401k/RSP matching • Onboarding stipend for home office peripherals + accessories • Tuition Reimbursement • Learning & Development programs • Quarterly stipend for Wellness, Connectivity & Comfort • Mental Health support & resources • Free subscription to Scribd + gift memberships for friends & family • Referral Bonuses • Book Benefit • Sabbaticals • Company wide events • Team engagement budgets • Vacation & Personal Days • Paid Holidays (+ winter break) • Flexible Sick Time • Volunteer Day • Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Want to learn more about life at Scribd? ************************************ --------------------------------------------------------------------------------------------------------------------------- We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations [@] scribd.com about the need for adjustments at any point in the interview process. Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. --------------------------------------------------------------------------------------------------------------------------- Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, DC, Florida, Georgia, Hawaii, Maryland, Massachusetts, Michigan, Missouri, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Washington, Ontario (Canada), British Columbia (Canada), or Mexico #LI-Remote

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Responsibilities: · You will design and execute user-facing features for the native LinkedIn app on Android devices by leveraging mobile operating system frameworks for multi-threading, persisting data, and managing user experience and graphics across multiple screen sizes. · You will use the latest cutting edge technologies and libraries suggested by Google for building responsive native apps for Android. · You will build scalable native mobile apps using LinkedIn's internal libraries. · You will make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. · You will produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration. · You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross-functional, and company-wise critical programs. · You will identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Basic Qualifications: • BA/BS in Computer Science or related technical field or equivalent practical experience. • 1+ years of industry experience • Programming experience in languages such as Java, C/C++, Python, JavaScript, Kotlin, etc. Preferred Qualifications: • 2+ years of relevant work experience. • MS or PhD in Computer Science or related technical discipline. · Foundation in computer science with a strong understanding of data structures, object-oriented programming, and algorithms. · Knowledge of common mobile application design patterns (MVC, MVVM, MVP, etc.) · Familiarity with API design and client/server communication principles. · Understanding of best practices for multithreading and performance optimizations. · Knowledge of Android debugging tools including profiling app performance. · Experience writing automated tests for Android apps. · Programming experience in Kotlin. Suggested Skills: · Java · Kotlin · Mobile Development You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $99,000 - $163,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Senior Search Engine Marketing Manager (SEM) - RemoteJob LocationsUS-Remote-RemoteRequisition ID2024-13258# of Openings1Job Post Information* : Posted Date3 months ago(12/17/2024 8:20 PM) Category (Portal Searching) General & AdministrativeSummary Yelp's cutting edge performance marketing team is on a mission to help connect consumers with local businesses and service professionals. Our team works together to drive growth and positive contribution margin by acquiring new customers, new businesses, and maximizing yield and revenue from paid marketing channels. The team has large budgets, dedicated support from Google and Bing, and wide-open opportunities for growth. We are looking for an experienced Search Engine Marketing (SEM) Manager with strong analytical skills, business acumen, and a deep understanding of Search Marketing to join our performance marketing team. You'll work to optimize portfolio operations of a 7 figure monthly SEM budget in order to drive marketplace growth. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes. This is a full-time remote role based in the United States. What you'll do: Manage the day-to-day operations for our paid search marketing strategy, setting up campaigns, optimizing bids, ad copy, landing pages, and more. Obsess over data. You will analyze performance metrics from internal database tools, third party systems, APIs, and data feeds to drive growth in profit. Think big picture, dig into the data, uncover trends and communicate findings to the team and key stakeholders across the business. Monitor and report on daily SEM portfolio performance using our in-house SEM systems and conduct analysis and investigations using Excel, Tableau, and SQL. Create a roadmap for continual innovative testing to drive growth and ongoing optimization to drive efficiencies and achieve performance targets. Conduct tests on SEM best practices including, but not limited to: Portfolio Expansions Traffic Curation Ad Copy Testing Evaluate test results using Excel & Stat Sig calculators to determine if the results meet success criteria and if they are statistically significant. Demonstrate flexibility in a constantly changing search ecosystem and stay apprised of latest trends and best practices. Collaborate with our in-house analytics and technology teams to conduct performance deep dives and inspire the next generation of our portfolio management tools. What it takes to succeed: 4+ years of experience using Google Adwords and Bing Ads with large keyword portfolios and at least high 6 figure to 7 figure monthly search budgets required. Deep understanding of automated search bidding strategies including tCPA & tROAS required. Exceptional analytical capabilities and the ability to turn trends into actionable insights and hypotheses. Advanced proficiency with Excel is a must (e.g. Power user leveraging Vlookups, pivot tables). Ability to use SQL and Python is a big plus. Bachelor's degree in a quantitative field (e.g. mathematics, statistics, computer science, etc.). Excellent leadership and collaboration skills (e.g., communicating, coordinating, building consensus, influencing without authority, listening, being open to other perspectives). What you'll get: Effective your first day: Full medical, vision, and dental 15 days PTO (accrual begins on date of hire and increases with 2+ years of tenure thereafter), 12 paid holidays, plus one floating holiday Up to 14 weeks of parental leave Monthly wellness subsidy Work from home reimbursement Flexible spending account 401(k) retirement savings plan Employee stock purchase plan Compensation range for this position is $106,000 - $198,000 annually. You may also be offered a bonus and benefits. Closing At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education - and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include "Playing Well With Others" and "Authenticity." We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience. We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California). We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or ************. Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes. US Recruiting and Applicant Privacy Notice #LI-Remote #CircaRequiredPreferredJob Industries Other

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It's through our flexible work benefit, Scribd Flex, that employees - in partnership with their manager - can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location. So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here's what that means for you: we're looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude. About the Team The mission of the business strategy & analytics team is to ensure the entire company understands business performance and trends, and to empower all business teams to make good decisions with data. We are seeking a talented Senior Growth Analyst to join our team, a role that will directly enable the success of our marketing campaigns across Scribd's three brands; Scribd, Slideshare and Everand. This position focuses on developing insights to optimize multi-channel campaigns, measuring their effectiveness, and driving growth across our subscription an ads-based business. This role will partner closely with our Product, Marketing, and Data Science teams to shape strategies that promote brand awareness, increase brand familiarity, and drive user acquisition through innovative marketing initiatives and effective measurement and analysis. About You You are a highly motivated and analytical individual who loves solving ambiguous business problems. You thrive in a fast-paced and collaborative environment, where you can leverage your strong communication skills to effectively interact with executives, stakeholders, and cross-functional teams. You are a strategic thinker who can connect the dots between analytics and business goals to uncover biggest opportunities for growth and impact. You Will: Collaborate with growth product, marketing, and creative teams to establish new measurement frameworks, analyze and refine multi-channel marketing strategies, focusing on paid and organic campaigns. Evaluate the effectiveness of campaigns such as multi-channel brand campaigns. Including video, influencer programs, activation campaigns, and social content. Conduct in-depth analyses of campaign performance, measuring KPIs such as brand familiarity, user acquisition, and conversion. Provide actionable insights to stakeholders, informing optimizations for brand campaigns, our State of Reading Report, and influencer partnerships. Develop and maintain dashboards and reports and own communication of critical marketing metrics and campaign performance to team leads and executive stakeholders.Work closely with engineering and data teams to ensure accurate and comprehensive data collection, campaign tracking, and integrity of marketing insights. Partner with cross-functional teams to ideate, execute, and measure experiments, ensuring campaigns are data-driven and results-oriented. Stay informed about the latest marketing trends, analytics tools, and methodologies to continuously improve campaign performance and measurement methodologies. You Have: 3+ years of experience in growth analytics or marketing analytics, with a strong focus on multi-channel campaigns.Expertise in data analysis and visualization tools such as SQL, Python, R, or Looker.Solid knowledge of statistical concepts, including experimental design, hypothesis testing, regression analysis, and financial forecasting.A Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, or Computer Science).Understanding of measurement methodologies and reporting capabilities in ad platforms like Google Ads and Meta Ads a plus. Strong understanding of A/B experimentation, including designing and analyzing geo-lift tests.Experience with attribution methodologies such as Marketing Mix Modeling (MMM), multi-touch attribution, or position-based attribution is a strong plus.Exceptional communication and presentation skills, with the ability to translate complex data into clear, actionable recommendations for technical and non-technical stakeholders.Experience with agile workflows and collaboration across creative, engineering, and marketing teams.A passion for analyzing user behavior and proven ability to combine marketing and campaign data with customer-level data to understand key drivers of performance. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $107,000 [minimum salary in our lowest geographic market within California] to $168,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $89,000 [minimum salary in our lowest US geographic market outside of California] to $159,500 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $111,500 CAD [minimum salary in our lowest geographic market] to $159,000 CAD [maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Benefits, Perks, and Wellbeing at Scribd *Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work. • Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees • 12 weeks paid parental leave • Short-term/long-term disability plans • 401k/RSP matching • Onboarding stipend for home office peripherals + accessories • Tuition Reimbursement • Learning & Development programs • Quarterly stipend for Wellness, Connectivity & Comfort • Mental Health support & resources • Free subscription to Scribd + gift memberships for friends & family • Referral Bonuses • Book Benefit • Sabbaticals • Company wide events • Team engagement budgets • Vacation & Personal Days • Paid Holidays (+ winter break) • Flexible Sick Time • Volunteer Day • Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Want to learn more about life at Scribd? ************************************ --------------------------------------------------------------------------------------------------------------------------- We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations [@] scribd.com about the need for adjustments at any point in the interview process. Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. --------------------------------------------------------------------------------------------------------------------------- Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, DC, Florida, Georgia, Hawaii, Maryland, Massachusetts, Michigan, Missouri, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Washington, Ontario (Canada), British Columbia (Canada), or Mexico #LI-Remote

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options. This means you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or you can work remotely from most locations within the country listed for this role. This role will be based in New York, NY and will sit alongside our Video Engineering team. As a senior AI leader in NY, you will help lead the buildout of our AI talent presence in the New York office. The Video AI team sits at the heart of our LinkedIn's ambitious growth strategy. Our team is a dynamic group of machine learning experts dedicated to revolutionizing the way we interact with video content. This team is at the forefront of developing cutting-edge artificial intelligence technologies that enhance video understanding, search, and personalization. By leveraging state-of-the-art AI techniques, the Video AI team is poised to open up new ways of engaging with videos on LinkedIn. Our work encompasses a range of applications, from real-time video analytics to intelligent content recommendation systems, positioning our company as a leader in the rapidly evolving landscape of video technology. As LinkedIn continues to revolutionize our market presence, the Video AI team's expertise will be instrumental in shaping our product offerings and achieving our strategic goals, ensuring we stay ahead of the competition and deliver unparalleled value to our 1 billion+ global users. Below are a few examples of the problem spaces we work in (and much more!): Video Understanding: Building state of the art content understanding models and content embeddings to power all video use cases. Video Feed Personalization: Identifying the most engaging content and distributing to users. Video Search: Tackling the multimodal search problem, delivering videos that provide the highest user value. Video Safety: Safeguarding users from malicious actors and content, building an open and safe community for all. As a Principal Staff Engineer on the Video team, you will act as the primary domain expert and Tech Lead for Video (primarily focused on the AI stack, but you will be providing tech leadership across the entire Video serving stack). You will research, develop, build and ship cutting edge AI technologies. You are expected to provide technical leadership, and drive architectural decisions and implementation across the engineering organization. Responsibilities Lead key technical and design discussions with a team of Product, Platform/Infra, and AI/ML Engineers across the entire Video stack. Provide technical leadership to cross-functional teams and drive alignment on technology strategy Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices Partner effectively with leads (ICs and managers) from other AI teams Attract world class talent and provide technical guidance, career development, and mentoring to team members. Lead by example to build a culture of craftsmanship and innovation Establish a culture that values diverse viewpoints while navigating complex decisions Be an industry thought leader for AI & Video. Represent LinkedIn in relevant industry forums. Basic Qualifications BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience 7+ years of industry experience in software design, development, and algorithm related solutions. 7+ years experience programming languages such as Python, etc. 5+ years in an architect or technical leadership position Background in the following areas: Machine Learning, Artificial Intelligence, Consumer Video Preferred Qualifications Experience in bringing large scale AI systems to production, with an emphasis on Video recommendation systems for Consumer applications. PhD in Computer Science, Machine Learning, Statistics or related fields 9+ years of experience in AI/Data Science and Machine Learning Demonstrated ability to work with peers in engineering across teams to set technical directions Excellent communication and presentation skills Suggested Skills: Video Application architecture Machine Learning LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $218,000 to $357,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************* Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Responsibilities: · You will develop tools to improve our ability to rapidly deploy and effectively monitor custom applications in a large-scale Linux environment. · You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. · You will produce high quality software that is unit tested, code reviewed and checked in regularly for continuous integration. · You will serve as a primary point responsible for the overall health, performance, and capacity of one or more of our Internet-facing services. · You will assist in the roll-out and ramp up of new product features and technologies to facilitate our rapid iteration and constant growth. · You will gain deep knowledge of our complex applications and operate effectively in a fast-paced, rapidly changing environment. · You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Basic Qualifications: · BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience. · 4+ years of industry experience in software design, development, and algorithm related solutions. · 4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby. Preferred Qualifications: · BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience. · Experience in designing and building infrastructure and web services at large scale. · Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. · Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. · Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming. · Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. · Experience with Linux operating systems and troubleshooting production systems at scale. Suggested Skills: · Technical Leadership · Advanced Programming Skills · Code Review and Quality Assurance · Advanced Software Design & Architecture · Mentoring and Knowledge Sharing You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 to $240,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We are much more than a digital resume - we transform lives through innovative products and technology. Creating economic opportunity for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. Job Description At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. This is a hybrid position based out of our Sunnyvale, CA Headquarters. The Dev Platforms and Experiences (DPX) organization has the mission of making everyone in LinkedIn R&D more productive and successful. The charter includes all our core developer infrastructure to Build, Test and Deploy our software, the applications frameworks that we leverage to build our user facing products and the Platform capabilities that power our product innovation. We are looking for a Sr. Director to help build out our Testing Infrastructure and Automation teams. LI is going through a massive transformation across our core Infrastructure, Application frameworks and finally the way we structure our code (moving from highly fragmented multiple repositories to a few large repos), which will fundamentally change our developer experience. Any change requires validation and our validation infrastructure needs to be rebuilt to help us navigate these changes with predictability and reliability without slowing down the engineering organization. In addition to validation, to accelerate these transformations, automation will have to play a key role and this leader will be responsible for defining our automation strategy and how we can leverage AI to make our engineers more productive. Responsibilities: -You will build and ship software, drive architectural decisions and implementation across teams. -You will drive the adoption of cutting-edge solutions and methods to enable innovative developer focused tools and applications. -You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. -You will lead cross team/cross-functional discussions and drive alignment on technology -strategy. -You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. -You will act as one of the primary domain experts to influence technology choices. -You will lead by example to build a culture of craftsmanship and innovation. Basic Qualifications -Bachelor's degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields -15+ years of experience in management positions Preferred Qualifications -Experience managing teams of 80+ individuals and first/second-line managers. Ability to lead by example and inspire the team to perform at a high level and collaborate very well across different teams. -Good understanding of large-scale engineering systems. -Engineering development experience, building products and backend systems, infrastructure services. -Background in leverage LLM to build products (preferably developer focused applications). "Suggested Skills" -People Management -Technical Leadership - AI domain expertise LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $227,000 to $373,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It's through our flexible work benefit, Scribd Flex, that employees - in partnership with their manager - can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location. So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here's what that means for you: we're looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude. About the team and role We're looking for a data-driven senior or staff level Product Designer to lead design across our Growth pillar, working on experiences to drive customer acquisition, activation, engagement, and retention for all 3 of our products, and mentoring other growth designers. You'll own growth strategy and execution on initiatives like new subscription offerings, personalized sign up flows, onboarding, and offboarding experiences, referral and gift programs, and more. We're a team that values experimentation, craft, collaboration, and above all, our people. You'll be a great fit if you have a high bar for visual design, love to generate and test ideas quickly, can demonstrate understanding of business metrics, and have a track record of making impact. You will:Partner with product, data analytics, user research, engineering, and customer support to gain a deep understanding of user needs, opportunities, and behavior to acquire new users, deliver value quickly, and increase retention and LTV.Lead design projects from brief, research, and concept exploration through prototyping, visual design details, and stewardship through development.Use data collected from research, user testing, and market evaluation to create truly user-centered designs.Run A/B tests to optimize sign up, onboarding, and offboarding flows.Pair with our research department to plan and conduct user research, and test prototypes to understand user needs and emotions and the resonance of our product - synthesizing the results to inspire empathy and bring clarity to the broader team.Visualize and communicate complex design solutions across use cases by creating process flows, wireframes, motion studies, prototypes, and high fidelity mock-ups.Develop and maintain detailed design documentation & specifications for your work.Work closely with engineers, stakeholders, and partners to ensure that the user experience is polished and as intended.Use a variety of metrics to evaluate and continuously improve the user experience.Regularly present your work to senior leaders for review and feedback. You have:Experience: 6+ years as a product designer leading growth initiatives with a strong portfolio demonstrating experience with A/B testing and using data to impact conversion rate, activation rate, and user engagement.Craft: You have a high bar for visual polish and are fluent in UX, visual and interactive design best practices for web and native mobile experiences. You love crafting beautifully designed solutions based on insights from real people, focusing on iterative improvements toward an innovative future vision.Ownership: You show strong initiative, empathy, leadership, and strategic partnership.Communication: You're a strong storyteller who has the ability to explain complex ideas clearly and persuasively, and present your work in a way that energizes and creates shared ownership for both leaders and peers. You also have the skills to mentor those around you to deliver high quality work.Collaboration: You thrive partnering with product managers, engineers, researchers, and data scientists. You can synthesize and incorporate their points of view in your work.Customer centricity: You put users at the center of everything you create and are passionate about improving their experiences.Tool proficiency: You are proficient in Figma (our primary tool) and prototyping tools of your choosing.Growth mindset: You are committed to continuous learning and improvement for yourself and for those around you. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $145,000 [minimum salary in our lowest geographic market within California] to $192,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $101,000 [minimum salary in our lowest US geographic market outside of California] to $182,500 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $127,000 CAD[minimum salary in our lowest geographic market] to $182,000 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Benefits, Perks, and Wellbeing at Scribd *Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work. • Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees • 12 weeks paid parental leave • Short-term/long-term disability plans • 401k/RSP matching • Onboarding stipend for home office peripherals + accessories • Tuition Reimbursement • Learning & Development programs • Quarterly stipend for Wellness, Connectivity & Comfort • Mental Health support & resources • Free subscription to Scribd + gift memberships for friends & family • Referral Bonuses • Book Benefit • Sabbaticals • Company wide events • Team engagement budgets • Vacation & Personal Days • Paid Holidays (+ winter break) • Flexible Sick Time • Volunteer Day • Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Want to learn more about life at Scribd? ************************************ --------------------------------------------------------------------------------------------------------------------------- We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations [@] scribd.com about the need for adjustments at any point in the interview process. Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. --------------------------------------------------------------------------------------------------------------------------- Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, DC, Florida, Georgia, Hawaii, Maryland, Massachusetts, Michigan, Missouri, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Washington, Ontario (Canada), British Columbia (Canada), or Mexico #LI-Remote