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Posted 4 weeks
Senior Product Analyst
Scribd, Inc. - Jacksonville, FL
Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. 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. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. About the Team The mission of the Data & 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 Growth organization focuses on driving sustainable subscriber and user growth across Scribd’s ecosystem, including Scribd, Everand, Slideshare, and Fable. We work to improve how users discover, sign up for, activate, and retain value across our products. Our work spans acquisition, activation, retention, and monetization, with a deep emphasis on data quality, measurement, and experimentation. About The Role: We’re looking for a Senior Product Analyst to support the growth and optimization of Scribd’s user-generated content ecosystem. In this role, you’ll partner closely with Product, Engineering, Data, and Marketing to uncover insights about user behavior, experiment performance, and content discovery, and translate those insights into actionable recommendations that drive measurable impact. This role sits at the intersection of product analytics, experimentation, and growth, with a strong focus on how users discover, engage with, and convert through UGC-driven experiences. What You’ll Do: Design and execute end-to-end experimentation frameworks to measure and optimize growth initiatives across the funnel, including hypothesis generation, test design, metric definition, analysis, and readouts. Partner with Data Science and Product to establish experimentation best practices, set success thresholds, and ensure statistical rigor in all A/B tests. Collaborate with Product, Lifecycle, and Data Engineering teams to design experiments, define success metrics, and measure the impact of product and marketing initiatives. Build and maintain scalable dashboards and reporting frameworks in Looker and Databricks to track growth KPIs such as signups, trial conversion, bill-through rate, churn, and LTV. Partner with PMs to identify and prioritize opportunities through funnel and cohort analyses, experimentation, and user behavior insights. Support scenario planning and impact sizing for key initiatives, helping quantify potential outcomes, model tradeoffs, and inform prioritization decisions across acquisition, activation, and retention efforts. Own analytics and reporting for external organic traffic to Scribd’s UGC experiences, including performance monitoring, experiment measurement, and insight generation tied to product outcomes. Analyze search-driven landing page journeys end-to-end evaluating traffic quality, engagement, conversion, and retention to identify opportunities for UGC growth. Measure the impact of web-facing and technical changes (e.g., crawlability, performance, structured signals) on organic traffic, content visibility, and downstream funnel performance. You Have: 3+ years of experience in product analytics or a related analytical role supporting web-facing or content-driven products. Strong understanding of organic web traffic and external discovery fundamentals, including search-driven entry points, landing page performance, technical site health signals, and content performance measurement. Expert knowledge of statistical concepts and methodologies, including experimental design, hypothesis testing, and regression analysis. Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or equivalent practical experience. Advanced proficiency in SQL and at least one scripting language (Python or R), plus experience building dashboards in a BI tool (Looker preferred) and working with modern data warehouses (e.g., Databricks). Strong business acumen and the ability to connect analytical insights to business objectives. Excellent communication and presentation skills, with the ability to distill complex data into meaningful insights for both technical and non-technical stakeholders. Experience working in an agile development environment and collaborating with cross-functional teams. Strong attention to detail and a commitment to delivering high-quality, accurate analysis within tight deadlines. At Scribd, Inc., 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 $121,000 [minimum salary in our lowest geographic market within California] to $188,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $99,500 [minimum salary in our lowest US geographic market outside of California] to $178,500 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $126,500 CAD[minimum salary in our lowest geographic market] to $161,000 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. Working at Scribd, Inc. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Get to Know Scribd, Inc. About Scribd, Inc. Life at Scribd, Inc. 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 [email protected] about the need for adjustments at any point in the interview process. Scribd, Inc. 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.
Posted 4 weeks
Senior Product Manager
Scribd, Inc. - Jacksonville, FL
Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. 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. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. About the Team and Role Scribd is evolving from one of the world’s largest document libraries into a platform where active knowledge building happens. With a library of 300 million human-powered documents and 250+ million monthly visitors, our next chapter focuses on helping users move from simply finding source material to building deep, actionable knowledge. As a Senior Product Manager, you will lead this zero-to-one transformation, leveraging ML and LLMs to create workflows that feel effortless while remaining grounded, attributable, and trustworthy. You will partner closely with Design, Engineering, Machine Learning, and Data Science teams to turn advanced technical capabilities into intuitive experiences that users rely on and return to. We’re looking for a product leader with a sharp sense of craft and the ability to set a clear direction amidst ambiguity. Ready to invent the future of knowledge discovery and help millions of people turn information into understanding? You Will Develop and set the long-term product vision, strategy, and roadmap for core platform features, defining both future goals and immediate, multi-quarter steps. Define and track success metrics for core user journeys at the company level. Balance short-term wins with long-term vision, delivering incremental improvements while building an extensible platform aligned with the company's multi-year strategy. Enhance the experience users have both as prospects and as subscribers across devices. Construct a product roadmap using domain knowledge and partnerships to prioritize opportunities. This requires evaluating difficult trade-offs and making bets with partial information. Communicate with clarity and influence, aligning product, engineering, design, sales, marketing, and executive stakeholders on strategy, roadmap, requirements, and expected impact. You Have Minimum of 5 years of product management experience. A drive to improve quality for users while achieving business goals. Strong analytical and strategic thinking skills, with a data-driven approach to decision-making. Comfort in the unknown and a track record of thriving amid ambiguity, including shaping multi-year visions and delivering incremental wins. Demonstrated ability to lead cross-functional initiatives and influence without authority. Exceptional written and verbal communication skills. Experience building for the future while delivering today. Familiarity with both quantitative (e.g., AB testing and data analytics) and qualitative (e.g., user testing, interviews) research methods. At Scribd, Inc., 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 $139,000 [minimum salary in our lowest geographic market within California] to $216,500 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $114,500 [minimum salary in our lowest US geographic market outside of California] to $205,500 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $145,000 CAD[minimum salary in our lowest geographic market] to $185,000 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. Working at Scribd, Inc. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Get to Know Scribd, Inc. About Scribd, Inc. Life at Scribd, Inc. 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 [email protected] about the need for adjustments at any point in the interview process. Scribd, Inc. 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.
Posted 4 weeks
Director, Growth Engineering
Scribd, Inc. - Jacksonville, FL
Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. 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. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. About the Role We're looking for a Director of Engineering to own the engineering vision, strategy, and execution for Scribd's growth organization. You will build modern growth and MarTech systems for a global audience of +200M monthly visitors and +2M paying subscribers across multiple brands. You'll lead an organization of approximately 25 engineers across three teams, directly managing a growth platform team while providing strategic and organizational leadership across the full group. You will operate at two altitudes simultaneously: hands-on with your platform team while setting direction, raising the bar, and removing obstacles across the broader org. This is a high-ownership leadership role for a Director who is both people-first and visionary: someone who is passionate about growth engineering and maximizing the potential of an already high-performing team. This role requires deep technical expertise in designing and shipping growth systems. You’ll partner closely with leaders in Product, Performance Marketing, Partnerships, Data Platform, and Analytics to build reliable foundations, and to translate growth strategy into high-leverage technical capabilities. What You’ll Do Define the growth engineering strategy. Audit the current state of our growth tooling, data pipelines, experimentation infrastructure, lifecycle messaging, analytics, and attribution. Develop a technical roadmap in close partnership with product leadership. Build and lead the growth platform team. Take direct management of a 5-person team focused on our growth platform. Establish engineering practices and define the team charter. Create team identity and build the team to full strength. Lead a high-performing growth engineering organization. Provide organizational leadership across all three growth engineering teams. Assess team boundaries, build alignment on shared engineering standards, and strengthen the culture of experimentation rigor. Maintain engineering quality while strategically balancing speed and technical debt. Drive agentic engineering adoption. Lead the adoption of agentic engineering practices within the growth organization. Identify how AI can accelerate delivery while maintaining high quality. Be a strategic partner. Serve as the engineering counterpart to your peer product leader in the growth pillar. Build strong relationships across Product, Design, Marketing, Analytics, Data Science, and Partnerships. Create visibility into growth engineering's impact through business reviews, roadmap updates, and clear reporting that connects technical work to business outcomes. Raise the bar across Scribd engineering. Contribute to the broader engineering organization through leadership forums, architecture reviews, hiring, and engineering-wide initiatives. Model engineering excellence and be a collaborative peer leader among Scribd's engineering directors. What We’re Looking For Growth platform and martech depth. You've directly built or led the build-out of growth systems at a consumer subscription or marketplace business. You understand the modern stack and vendor landscape deeply. Technical depth. You can make sound design decisions about web frontend, backend, and data-intensive systems, and you are comfortable with warehouse-centric architectures. You can lead teams through ambiguity and tradeoffs. Proven engineering leadership. 10+ years of engineering experience with 4+ years leading multiple engineering teams, including managing managers. Track record of hiring and developing strong talent. You build trust, invest in people, and hold teams to a high bar. Cross-functional partnership. You thrive in collaborative environments. You can code-switch between technical and business audiences. You build alignment through influence, not authority, and you're as credible in an executive review as you are in an architecture discussion. Bias toward action. You move with urgency. You're comfortable making decisions with incomplete information and course-correcting as you learn. You thrive in ambiguity and can build structure where none exists. Why This Role, Why Now? We are entering the next phase of growth engineering at Scribd, systematically investing in a holistic platform and practices that drive sustained business impact at scale: from paid, partnerships, plans & pricing, to onboarding and retention. If you're looking for a role where you can define the architecture (not just manage the backlog), ship systems that directly move conversion and revenue, build a team and culture, and do it all alongside sharp, collaborative people who care – we'd love to talk! - At Scribd, Inc., 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 $196,500 [minimum salary in our lowest geographic market within California] to $318,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $162,000 [minimum salary in our lowest US geographic market outside of California] to $302,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $205,500 CAD[minimum salary in our lowest geographic market] to $282,000 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. Working at Scribd, Inc. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Get to Know Scribd, Inc. About Scribd, Inc. Life at Scribd, Inc. 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 [email protected] about the need for adjustments at any point in the interview process. Scribd, Inc. 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.
Posted 4 weeks
Senior Analytics Manager – Payments and Identity
Scribd, Inc. - Jacksonville, FL
Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. 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. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. About the Team The Data & Analytics team ensures Scribd understands business performance and trends, and helps teams make better decisions with data.The Payments & Identity team focuses on the systems that let Scribd securely monetize and protect its products: how users authenticate and subscribe, how we process payments, how we prevent fraud and chargebacks, and how we meet compliance and online safety expectations. About the Role As Senior Analytics Manager, Payments & Identity, you will be the senior analytics leader for the platforms that power our subscription business. Your scope spans the full monetization and identity lifecycle, from subscription and billing outcomes to payment performance to account creation, authentication, and identity risk. You will define how we measure and optimize the systems behind millions of transactions and logins across markets, currencies, entities, and payment service providers. You will build the analytics foundations that make payments and identity data trustworthy and self-serve, and use those foundations to drive clear, data-backed decisions with product, engineering, finance, and executive stakeholders. About You You have 7+ years of experience in analytics and deep, hands-on domain expertise in payments and identity. That domain expertise is a must-have, non-negotiable requirement. You understand how payment service providers and identity systems work end to end, where data can be misleading, and how to design metrics and definitions that reflect reality. You care about accuracy, observability, and data quality as much as dashboards. You are comfortable going deep into schemas, event flows, and SQL, and you can zoom out to set direction, frame tradeoffs, and tell a concise story to senior audiences. You Will Lead end-to-end analytics for the payments lifecycle, including authorization and settlement, retries and dunning, recapture, passive churn, and bill-through, and tie these metrics directly to subscriber, revenue, and unit economics outcomes. Develop and own the core Payments KPI framework (for example Payment Success Rate, authorization and settlement rates, payment service provider volume share, cost per transaction, cost of ownership, fraud and chargeback guardrails) and use it to guide strategy and vendor decisions. Lead analytics for Identity flows, including account creation, authentication, login and signup friction, error and lockout rates, dormant account behavior, and identity risk and safety metrics, and build the initial analytics foundation and metrics framework for the Identity squad. Build and maintain reliable dashboards and reporting that provide a holistic view of Payments & Identity health, designed with performance, cost, and self-serve use in mind, primarily using Looker and Databricks. Partner with Product, Engineering, Finance, and Operations on payments & identity strategy, routing and configuration changes, fraud controls, billing changes, and other key initiatives, quantifying tradeoffs across revenue, cost, risk, and customer experience. Drive instrumentation, observability, and data quality for Payments and Identity by defining event and data requirements, partnering with engineering on tracking and monitoring, and putting in place checks and alerts for key flows and metrics. Collaborate with Data Platform and Data Engineering on data models that make Payments and Identity data easier to query, debug, and monitor, and that support fast experimentation and operational reporting. Manage and mentor analysts (starting with a payments-focused analyst), providing coaching, feedback, and review, and helping define best practices for Payments & Identity analytics. You Have 7+ years of experience in analytics (for example product, payments, or platform analytics), ideally in a subscription or consumer environment, with a track record of leading high-impact work end to end. Deep, hands-on domain expertise in payments and identity, including authorization and settlement, retries and dunning, decline reasons, fraud and chargebacks, identity and authentication flows, and evaluating payment service providers on both performance and cost. Experience leading or managing analysts, including setting direction, reviewing complex work, and developing others. Strong technical toolkit: advanced SQL; experience with a programming language such as Python or R; and comfort working with modern data warehouses and observability tools (for example Databricks and Datadog). Deep experience with BI tools such as Looker, including designing and maintaining performant, cost-conscious dashboards that teams can safely use for self-serve decision-making. Experience with payments and subscription analytics (for example authorization and settlement rates, bill-through, recapture, passive churn, payment service provider volume share, LTV, unit economics) and lifecycle or cohort analysis. Experience with experimentation and event instrumentation for billing, payments, or identity flows, including defining success metrics, working with experimentation platforms such as StatSig, and producing clear experiment readouts and narratives for senior audiences. Excellent communication and stakeholder management skills, with a track record of translating complex analyses into clear, concise stories and influencing senior partners across product, engineering, finance, and operations. Why This Role, Why Now? Payments, billing, and identity are the backbone of Scribd’s business, and we’re investing heavily in building a resilient, optimized, and globally extensible platform for the future. You’ll have the mandate and executive support to build and lead a top-tier analytics function, define foundational metrics and data architecture, and deliver measurable outcomes that directly impact revenue, customer experience, account security, and Scribd’s global expansion. If you’re looking for a role where you can build, lead, and scale with clarity and impact across both payments and identity, we’d love to hear from you. At Scribd, Inc., 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 $146,500 [minimum salary in our lowest geographic market within California] to $228,500 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $121,000 [minimum salary in our lowest US geographic market outside of California] to $217,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $153,000 CAD[minimum salary in our lowest geographic market] to $203,000 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. Working at Scribd, Inc. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Get to Know Scribd, Inc. About Scribd, Inc. Life at Scribd, Inc. 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 [email protected] about the need for adjustments at any point in the interview process. Scribd, Inc. 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.
Posted 4 weeks
Lead Data Scientist – Recommendations
Scribd, Inc. - Jacksonville, FL
Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. 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. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. About the Role Scribd, Inc.’s Data & Analytics team is hiring a Lead Data Scientist to own measurable outcomes across our recommendation surfaces – translating product goals into metrics, leading roadmap bets, and shipping lifts in business results. You’ll define the offline/online contract end-to-end, design and run experiments, diagnose why variants win or lose, and build prototype models while partnering with Engineering to productionize. You’ll map goals to metrics with clear success criteria, focus on opportunity sizing and measurement, and apply an AI lens (LLMs, embeddings) where it demonstrably improves retrieval, ranking, or understanding—shaping how millions engage with our global content library. Scribd is a differentiated subscription platform with strong organic reach and a vast catalog—books, audiobooks, and hundreds of millions of UGC documents and slides. In a landscape reshaped by AI, our opportunity is to help users cut through noise and discover high-quality, human-centered content. You’ll set north stars and guardrails, create leading indicators that predict long-term outcomes, and build the measurement architecture—identity, attribution windows, metric contracts, and drift/leakage checks—that keeps downstream metrics trustworthy. You’ll also accelerate decision velocity with clear stop/go criteria and power checks, and tell the story through concise decision memos with trade-offs and risks. What you’ll do: Opportunity mapping. Size and prioritize new recs surfaces, intents, and cohorts; trace the funnel and analyze by slice (cold items, long-tail users, platform) to steer the roadmap. Own the evaluation framework. Define north star & guardrails (e.g. diversity, novelty, duplication, safety); set threshold and tradeoffs, and publish the Objective & Eval Contract per surface. Offline/Online alignment. Quantify correlation between offline IR metrics (e.g., NDCG@K, MAP, MRR, coverage, calibration) and online KPIs by surface/cohort; publish error bounds and monitor metric drift. Create leading indicators. Create short-horizon metrics that predict long-term outcomes (e.g., trial to bill-through); backtest and run post-hoc causal checks, reporting uncertainty. Build the measurement architecture. Set identity & attribution standards (user_id vs. device_id, qualifying events, windows) so downstream metrics (bill-through, churn) are trustworthy. Design and run advanced experiments such as interleaving tests, pre-register stop/go criteria, and deliver crisp readouts that drive decisions. Codify schemas, freshness, leakage, and drift checks with Analytics and Data Engineers, establish high quality datasets for Recs algo. Evaluate when LLMs/embeddings (topics, summaries, semantic similarity) measurably improve offline/online metrics; prototype and hand off clear build specs to ML Eng. Storytelling and influence. Write decision memos, align cross-functional teams, and drive clear decisions with trade-offs and risks called out. What you’ll need: 8+ years experience in Data Science, preferably on recs/search/ranking with shipped impact. Strong Python and SQL; comfort with Spark. Fluency in ranking evaluation (NDCG@K, MAP, MRR, calibration, coverage/diversity) and awareness of exposure/selection bias. Fluency in experiment design and connecting offline metrics to online outcomes. Ability to translate product goals into loss functions, features, and specs engineers can build. Nice to have: Familiarity with LLMs/embeddings evaluation in offline and online; embeddings/vector search assessment for lift vs. latency/cost - At Scribd, Inc., 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 $162,000 [minimum salary in our lowest geographic market within California] to $252,500 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $133,000 [minimum salary in our lowest US geographic market outside of California] to $239,500 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $169,000 CAD[minimum salary in our lowest geographic market] to $224,500 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. Working at Scribd, Inc. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Get to Know Scribd, Inc. About Scribd, Inc. Life at Scribd, Inc. 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 [email protected] about the need for adjustments at any point in the interview process. Scribd, Inc. 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.
Posted 4 weeks
Risk Operations Analyst II – Payments & Fraud
Scribd, Inc. - Jacksonville, FL
Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. 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. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. About the team and role The Risk Operations team at Scribd plays a critical role in protecting the business by managing payments and fraud risk, to reduce costs while also driving customer and business value. As Risk Operations Analyst II, Payments & Fraud, you will be key to helping us build a world-class, cross-functional payments team. You’ll go beyond reactive risk mitigation - to proactive risk management that also improves business outcomes. This role will support the Risk Ops Team in creating clarity, working cross-functionally with other teams, and embed risk thinking into how Scribd builds and scales. What you’ll do: You will partner with the Risk Ops Manager on process and strategy. This team owns payments risk and fraud operations across the following key areas, while partnering closely with Payments, Product, Analytics, and Finance teams: Chargeback Strategy & Prevention Monitor and reduce chargeback rates across processors Monitor dispute representment and metrics like win rate Fraud Detection & Rule Optimization Monitor the performance of our fraud blocking tools (3rd party and in-house) Support fraud related investigations (including card testing attacks and content fraud) Analyze new fraud trends and key risk metrics Collaborate with team and vendors to manage and develop new fraud rules Payments Optimization Support Partner with Payments, Analytics, and Finance to monitor and improve payment processor performance Support onboarding and optimization of new payment tools and vendors Help future-proof the payments platform against fraud, risk, and cost inefficiencies What you’ll bring: 3 or more years experience in Fraud Prevention, Merchant Risk or related fields Core data processing skills, able to work with large data sets to generate accurate reporting and analysis, including validating and testing Knowledge of global payments ecosystems, with experience navigating fraud or chargebacks Interest in developing skills in fraud analysis, SQL, Python, Machine Learning, payment optimization and managing merchant accounts in payment platforms Strong analytical skills, with ability to define key metrics, track trends, and drive data-backed decisions Skilled cross-functional operator who can partner with and connect dots across Product, Analytics, Finance, Engineering, Legal, and Operations Ideally, you have: Intermediate to advanced Excel / Google Sheets skills 1-2 Years Experience with SQL or Python AI prompt design skills - At Scribd, Inc., 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 $76,500 [minimum salary in our lowest geographic market within California] to $118,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $63,000 [minimum salary in our lowest US geographic market outside of California] to $114,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $80,000 CAD[minimum salary in our lowest geographic market] to $106,000 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. Working at Scribd, Inc. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Get to Know Scribd, Inc. About Scribd, Inc. Life at Scribd, Inc. 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 [email protected] about the need for adjustments at any point in the interview process. Scribd, Inc. 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.
Posted 4 weeks
Lead Product Analyst – Premium
Scribd, Inc. - Jacksonville, FL
Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. 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. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. About the Team The mission of the Data & 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 Growth organization focuses on driving sustainable subscriber and user growth across Scribd’s ecosystem, including Scribd, Everand, Slideshare, and Fable. We work to improve how users discover, sign up for, activate, and retain value across our products. Our work spans acquisition, activation, retention, and monetization, with a deep emphasis on data quality, measurement, and experimentation. About The Role The Lead Product Analyst, Premium will play a critical role in shaping how we understand, measure, and optimize the end-to-end product experience across Scribd’s Premium portfolio, including the Everand and Fable apps. You are a strategic, technically strong analytics leader who partners deeply with Product Managers to influence product direction, experimentation strategy, and measurement frameworks. You bring a strong point of view on experimentation, instrumentation, and metric design, and understand how to connect user behavior to business outcomes in subscription-based products. You are equally comfortable defining analytics foundations (event standards, tracking taxonomies, data quality) and synthesizing insights into clear narratives that guide decision-making. You act as a trusted thought partner to PMs, helping teams stay aligned on what success looks like and how progress is measured across both apps. You Will Own end-to-end product analytics for the Premium experience across Everand and Fable, spanning activation, engagement, monetization, retention, and cancellation. Serve as a strategic thought partner to PMs, influencing product strategy through experimentation insights, funnel analysis, and feature-level measurement. Design and lead end-to-end experimentation frameworks for Premium initiatives, including hypothesis generation, test design, metric definition, analysis, and executive-ready readouts. Partner with Product and Data Science to establish experimentation best practices, success criteria, and statistical rigor, including the use of external experimentation platforms (e.g., Statsig or similar). Define and maintain standardized instrumentation and event taxonomy frameworks across Premium surfaces, partnering closely with Engineering to ensure consistent, high-quality data collection. Measure and evaluate the performance of new feature launches through clear input and output metrics, post-launch analysis, and iteration recommendations. Build and maintain scalable dashboards and reporting frameworks in Looker and Databricks to track Premium health, product KPIs, and weekly business metrics. Conduct deep-dive funnel, cohort, and behavioral analyses to identify friction points and opportunities across both apps. Track progress against key product goals, ensuring alignment between inputs (feature adoption, engagement signals) and outputs (retention, revenue, LTV). Present insights regularly in metrics forums and product reviews, helping teams maintain a shared, end-to-end view of Premium performance. Ensure data quality, governance, and visibility across tracking systems, improving confidence in decision-making. Mentor analysts and help establish best practices for product analytics, experimentation, and measurement standards across the Premium pillar. You Have 3+ years of experience in product analytics, ideally within a consumer-facing or subscription-based product environment. Advanced proficiency in SQL and Python or R for data analysis, experimentation support, and insight generation. Strong experience with experimentation design and analysis, including hands-on use of external experimentation platforms (e.g., Statsig or similar tools). Deep experience building and maintaining dashboards in BI tools such as Looker, including working with LookML and defining trusted metrics. Experience working with modern data warehouses such as Databricks, including collaborating with Data Engineering on modeling, performance, and reliability. Proven experience defining event schemas, instrumentation standards, and tracking taxonomies in partnership with Engineering teams. Strong understanding of funnel analysis, feature measurement, cohort analysis, and post-launch evaluation. Ability to synthesize complex analyses into clear, actionable insights and communicate them effectively to PMs, engineers, and leadership. Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics (Master’s degree a plus). Why This Role Matters This is a high-impact role with broad visibility and ownership across Scribd’s Premium products. You’ll help define how success is measured, how experiments are run, and how insights drive decisions across Everand and Fable. Your work will shape the analytics foundations, metrics, and narratives that guide Premium product strategy end to end. At Scribd, Inc., 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 $141,500 [minimum salary in our lowest geographic market within California] to $221,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $117,000 [minimum salary in our lowest US geographic market outside of California] to $210,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $148,500 CAD[minimum salary in our lowest geographic market] to $196,500 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. Working at Scribd, Inc. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Get to Know Scribd, Inc. About Scribd, Inc. Life at Scribd, Inc. 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 [email protected] about the need for adjustments at any point in the interview process. Scribd, Inc. 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.
Posted 4 weeks
Senior Data Analyst – Customer Operations
Scribd, Inc. - Jacksonville, FL
Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. 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. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. About the Role & Team: As a Senior Customer Operations Data Analyst, you will play a pivotal role in analyzing support data (primarily through tickets and user feedback) to understand issues and insights, enhance decision-making, and improve the overall user experience. You will work closely with cross-functional teams to uncover root causes of customer support challenges and opportunities. The ideal candidate is a self-starter who thrives in fast-paced and ever-changing environments. You should be a passionate advocate for improving the customer journey through data-driven insights. As Scribd’s first formal analytics hire for the Customer Support team, this is a unique opportunity to shape and drive the analytics function within the department. You will be responsible for gathering, synthesizing, and improving insights across all functions of Customer Support. This includes collaborating with and mentoring peers, as well as hands-on work to collect and analyze data related to key metrics such as Service Level Agreements (SLAs), Quality Assurance (QA), contact rate, customer support satisfaction, refunds, churn, and cost-to-support. You will play a pivotal role in ensuring that data-driven insights are used to enhance decision-making and improve the overall user experience. Key Attributes for Success: Customer-centric mindset with strong advocacy for customer needs Entrepreneurial, proactive approach to problem-solving Ability to thrive in a dynamic and fast-paced environment Understands how to leverage the latest technologies, including AI, to enhance customer support operations. You will: Data Collection, Synthesis, and Analysis: Gather, analyze, and interpret data to provide insights on customer support data and trends. Create pipelines for the collection and processing of new data from customer support sources. Reporting & Insights: Create comprehensive reports in Databricks, Looker, Google Sheets, Zendesk, and/or similar tools to monitor key metrics. Performance Metrics: Evaluate the effectiveness and performance of Customer Support goals, initiatives, and projects. Conduct in-depth analyses of performance, measuring KPIs such as service level achievement, customer effort & satisfaction, and user retention. Customer Insights: Analyze customer feedback and behavior patterns in response to product changes and on an ongoing basis. Forecasting: Forecast contact volumes and capacity needs. Roadmapping: Collaboratively manage the Customer Support’s data analysis roadmap with leadership. Collaboration: Work cross-functionally with stakeholders across Customer Support, Data & Analytics, Product, Engineering, and User Research. Leveraging Technology: Use AI and BI to enhance customer support operations and increase efficiency. Develop and maintain dashboards and reports and own communication of critical marketing metrics and campaign performance to team leads and executive stakeholders. Process Improvement: Provide actionable insights to stakeholders through data analysis, and identify opportunities for improvements operational efficiency. Stay informed about the latest Customer Support trends, analytics tools, and methodologies to continuously improve performance and methodologies. Project Support: Understand, document, and communicate business requirements for projects and process changes. You have: 3+ years of experience in an analytical or reporting role in Customer Support or Customer Operations within a digital consumer industry, with a strong focus on working autonomously to solve problems. Proficient in using data analytics tools including SQL, Python, Databricks, Looker, and Zendesk Explore (or similar BI tools). Strong working knowledge of MS Excel and/or Google Sheets A Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, or Computer Science). Solid knowledge of statistical concepts, including experimental design, hypothesis testing, regression analysis, and forecasting. Exceptional communication and presentation skills, with the ability to translate complex data into clear, actionable recommendations for technical and non-technical stakeholders. Understanding of measurement methodologies and reporting capabilities in ad platforms like Google Ads and Meta Ads a plus. A passion for analyzing user behavior and proven ability to combine product-level and CS data with customer-level data to understand key drivers of performance. Experience with agile workflows and collaboration across product, research, and operations teams. Detail-oriented with strong analytical, critical thinking, and problem-solving skills Ability to work independently, manage multiple tasks, prioritize effectively, and meet deadlines in a fast-paced environment. Experience working with BPOs in an outsourced environment is a nice to have. At Scribd, Inc., 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 $115,000 [minimum salary in our lowest geographic market within California] to $148,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $109,500 [minimum salary in our lowest US geographic market outside of California] to $140,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $102,500 CAD[minimum salary in our lowest geographic market] to $130,000 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. Working at Scribd, Inc. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Get to Know Scribd, Inc. About Scribd, Inc. Life at Scribd, Inc. 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 [email protected] about the need for adjustments at any point in the interview process. Scribd, Inc. 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.
Posted 4 weeks
Senior Machine Learning Engineer (Search)
Scribd, Inc. - Jacksonville, FL
Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. 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. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. About the team The Search team powers personalized discovery across Scribd’s products, delivering relevant and engaging suggestions to millions of users. We operate at the intersection of large-scale data, cutting-edge machine learning, and product innovation — collaborating across brands and platforms to enhance user experiences in reading, listening, and learning. Our team is a blend of frontend, backend, and ML engineers who partner closely with product managers, data scientists, and analysts. About the Role We’re looking for a Senior Machine Learning Engineer to lead the design, architecture, and optimization of high-impact ML discovery features that serve millions of users in near real time. You’ll work across the entire lifecycle — from data ingestion to model training, deployment, and monitoring — with a focus on creating fast, reliable, and cost-efficient pipelines. In this role, you will: Lead complex, cross-team projects from conception to production deployment. Drive technical direction for end-to-end, production-grade ML systems for advanced search capabilities and document understanding. Develop and operate services that power high-traffic pipelines for content discovery and knowledge synthesis. Run large-scale A/B and multivariate experiments to validate models and feature improvements. Mentor other engineers and establish best practices for building scalable, reliable ML systems. Tech Stack Our Machine Learning Engineers use a range of technologies to build and operate large-scale ML systems. Our regular toolkit includes: Languages: Python, Golang, Scala, Ruby on Rails Orchestration & Pipelines: Airflow, Databricks, Spark ML & AI: AWS Sagemaker, Embedding-based Retrieval (Weaviate), Feature Store, Model Registry, Model Serving platforms (Weights and Biases), LLM providers like OpenAI, Anthropic, Gemini, etc. APIs & Integration: HTTP APIs, gRPC Infrastructure & Cloud: AWS (Lambda, ECS, EKS, SQS, ElastiCache, CloudWatch), Datadog, Terraform Key Responsibilities Train, evaluate, and deploy ML models (including generative models) to production using Scribd’s internal platform and industry-standard frameworks. Collaborate with engineering and analytics teams to build large-scale ingestion, transformation, and validation pipelines on Databricks. Optimize systems for performance, scalability, and reliability across massive datasets and high-throughput services. Design and run A/B and N-way experiments to measure the impact of model and feature changes. Partner with product managers, data scientists, and analysts to identify opportunities, define requirements, and deliver solutions that solve real user problems. Requirements 6+ years of experience as a professional ML engineer or software engineer, with a proven track record of delivering production ML systems at scale. Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered). Expertise in designing and architecting large-scale ML pipelines and distributed systems. Deep experience with distributed data processing frameworks (Spark, Databricks, or similar). Strong cloud expertise (preferably GCP; also AWS and/or Azure) and experience with deployment platforms (ECS, EKS, Lambda). Experience with embedding-based retrieval, large language models, advanced information retrieval and ranking systems. Experience working with Search systems like query parsing, query intent classification, bm25, reranking, etc. Proven ability to optimize system performance and make informed trade-offs in ML model and system design. Experience leading technical projects and mentoring engineers. Bachelor’s or Master’s degree in Computer Science or equivalent professional experience. At Scribd, Inc., 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 $157,500 [minimum salary in our lowest geographic market within California] to $230,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $129,500 [minimum salary in our lowest US geographic market outside of California] to $220,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $165,000 CAD[minimum salary in our lowest geographic market] to $218,000 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. Working at Scribd, Inc. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Get to Know Scribd, Inc. About Scribd, Inc. Life at Scribd, Inc. 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 [email protected] about the need for adjustments at any point in the interview process. Scribd, Inc. 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.
Posted 4 weeks
Staff Data Engineer
Scribd, Inc. - Jacksonville, FL
Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. 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. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. About the Team: Scribd’s Data Platform team builds and governs the analytical data models and transformation layers that power trusted metrics, experimentation, ML and product insights across Scribd, Everand and Slideshare. We’re midway through a multi-year investment to modernize our data architecture for fully governed, properly-modeled data that every team can trust and build upon. At Scribd, we leverage deep data insights to inform every aspect of our business—from product development and experimentation to understanding subscriber engagement and key metrics. You’ll join a data engineering team tackling complex challenges within a rich domain spanning three brands that serve over 200 million monthly visitors and 2 million paying subscribers. This is a high-impact opportunity to shape Scribd’s next-generation data platform and elevate our engineering practices to a world-class standard. What You’ll Do As a Staff Data Engineer, you’ll be both a hands-on technical expert and a strategic leader. You’ll drive the design of core data models and pipelines in our Databricks/Delta Lake lakehouse, setting the standards for quality, reliability, and scalability across the platform. You’ll own end-to-end solutions, from architecture and implementation to operations and optimization, while helping guide the long-term direction of Scribd’s data ecosystem. You’ll collaborate across teams to turn complex business problems into robust data solutions, and you’ll mentor engineers to help them grow and deliver at a higher level. You’ll help the team evolve toward a fully governed lakehouse with fine-grained access controls and consistent lineage. You will: Design and own canonical analytical data models, defining grain, keys, and relationships that power Scribd’s enterprise metrics and reporting. Implement modern data lake orchestration patterns, including medallion architectures. Design and evolve scalable analytical data structures and transformation layers in Databricks/Delta Lake, ensuring correctness, performance, and clarity of modeled datasets Define and enforce data modeling standards (grain definition, fact vs. dimension design, key strategy, naming conventions) that ensure analytical correctness and prevent metric ambiguity.” Mentor engineers and foster a culture of ownership, operational excellence, and continuous learning. Shape the long-term technical vision and roadmap for Scribd’s data platform. Required Skills 8+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems. Deep expertise in Databricks, Delta Lake, Spark, and modern lakehouse technologies. Advanced SQL expertise required — including complex joins, aggregations, window functions, CTEs, query optimization, and reasoning about data at different levels of aggregation. Deep experience designing dimensional and analytical data models and owning metrics across domains (analytics, ML, APIs). Experience designing reliable transformation workflows that maintain consistent data and business logic across batch and streaming pipelines Demonstrated ability to lead technical initiatives, set standards, and influence decisions across teams. Comfort owning systems end-to-end, including monitoring, reliability, and cost management. Excellent communication skills with the ability to translate technical trade-offs to both engineers and non-technical stakeholders. This role requires hands-on data modeling and SQL fluency; it is not a platform-only or infrastructure-focused position. Desired Skills Experience with subscription, payments, or large-scale consumer data domains. Familiarity with AWS data services (S3, Glue, EMR, Kinesis) and cloud cost optimization. Knowledge of streaming architectures (Kafka, Kinesis, or similar). Experience implementing data quality, governance, and observability standards at scale. Contributions to open-source projects or thought leadership in the data engineering community. Experience operationalizing data observability through Datadog or equivalent monitoring tools. Experience working with Analytics teams to understand their requirements and translate to data products and data solutions. - At Scribd, Inc., 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 $167,000 [minimum salary in our lowest geographic market within California] to $260,500 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $137,500 [minimum salary in our lowest US geographic market outside of California] to $247,500 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $175,000 CAD[minimum salary in our lowest geographic market] to $231,500 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. Working at Scribd, Inc. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Get to Know Scribd, Inc. About Scribd, Inc. Life at Scribd, Inc. 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 [email protected] about the need for adjustments at any point in the interview process. Scribd, Inc. 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.