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About the Role
This role supports Content Supply & Understanding, the team that owns Scribd’s library of more than 400 million documents, which reaches over 250 million monthly active users. The team’s remit covers who contributes the content, how well we understand it, and how it reaches users. You will report to the Senior Manager, Data Analytics, and work embedded alongside Product, Engineering, Machine Learning, Data Science, and Analytics Engineering partners. The role is open at the Senior and Lead levels, and we will level based on the experience you bring. At the Senior level you own analytical workstreams within a defined area. At the Lead level you also set the measurement strategy for the area, take on the most open-ended problems, and raise the bar for the analysts around you.
Responsibilities
- Build measurement for content understanding.
- Define how we measure classification and metadata coverage, accuracy, and the effect of enrichment on discovery and engagement.
- Own analytics for content supply and generate insights on where the corpus falls short: size the gap between user demand and the corpus, estimate the value of closing it, and help prioritize where to invest, using the same market sizing, segmentation, and ROI methods applied in go-to-market analysis.
- Partner with Product Managers on strategy and roadmap.
- Translate product bets into success and guardrail metrics, size opportunities, and make trade-offs explicit.
- Design and read experiments (A/B tests and other methods) for content-related product changes, from hypothesis through analysis and readout.
- Define and maintain the KPIs, metric definitions, and dashboards for the content domain, and work with Analytics Engineering and Data Engineering on instrumentation and data quality so that metrics stay consistent over time.
- Investigate discontinuities and anomalies in content data, and separate real changes in user behavior from pipeline, definition, or instrumentation changes.
- Use AI-assisted workflows to speed up analysis and reporting, document how results are validated, and keep AI tools grounded as definitions change.
- Present findings and recommendations to product, engineering, and executive audiences, including in regular metrics reviews.
- At the Lead level: set analytical standards for the area and mentor other analysts.
Requirements
- 4+ years of experience in product analytics or a closely related role for Senior, or 7+ years for Lead, with a record of influencing product or business decisions.
- Experience turning ambiguous, loosely defined questions into analysis that changed a decision, in areas where data is sparse or metrics did not yet exist.
- Experience with opportunity sizing, segmentation, or business and go-to-market analysis, such as market sizing, pipeline prioritization, or ROI modeling.
- Advanced SQL, and experience with Python or R for analysis and statistical work.
- Experience with a modern data warehouse such as Databricks, and with BI tools such as Looker or Tableau.
- Experience building AI into analytics workflows, such as LLM-assisted querying, analysis, or reporting, to move faster while checking answers against certified metrics or known results. You use AI where it creates measurable value.
- Working knowledge of experimentation: A/B test design, hypothesis testing, and statistical analysis.
- A record of defining a metric, defending it under scrutiny, and revising it when its inputs change.
- Experience partnering with Product Managers and Engineers on strategy, roadmap, and measurement.
- Strong written and verbal communication, for both technical and non-technical audiences.
- Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science, or equivalent practical experience.
- Experience with content-heavy platforms such as marketplaces, catalogs, publishing, or user-generated content, including supply or content quality analytics.
- Experience with classification, taxonomy, or metadata systems, or with search and recommendation, including evaluating ML or LLM outputs against labeled data.
- Experience with experimentation platforms such as Statsig.
- For Lead candidates: experience mentoring analysts and setting measurement standards for a product area.
Skills
- Product analytics
- SQL
- Python
- R
- Databricks
- Looker
- Tableau
- AI-assisted workflows
- LLM-assisted querying
- A/B testing
- Hypothesis testing
- Statistical analysis
- Communication
Location
- 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.
- Ottawa
- Toronto
- Vancouver
- Mexico City
Work Type
- Scribd Flex (flexible work model)
- Occasional in-person attendance is required
Experience Level
- Senior
- Lead
Education Level
- Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science, or equivalent practical experience.
Salary/Compensations
- In the state of California, the reasonably expected salary range is between $153,000 to $216,500.
- In the United States, outside of California, the reasonably expected salary range is between $127,000 to $205,500.
- In Canada, the reasonably expected salary range is between $152,000 CAD to $194,000 CAD.
Benefits
- 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
About the Company
- 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.
- 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.
- 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.
Equal Opportunity
- 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.