Lead Product Analyst
About The Position
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 documents and over 250 million monthly visitors, our next chapter focuses on helping users move from simply finding information to building deep, actionable understanding. As a Lead Product Analyst, you will partner directly with Product Managers, Designers, and Engineers leading this zero-to-one transformation. Together, you will define how success is measured, de-risk product bets, and translate emerging user behaviors into clear product direction. This role sits at the intersection of product strategy, experimentation, and data foundations, helping turn ML- and LLM-powered capabilities into measurable, high-impact user experiences. You will work closely with Product, Engineering, Design, and Machine Learning teams to ensure that innovation is grounded in insight, rigor, and real user value.
Requirements
- 7+ years of experience in product analytics or a related field, with a track record of influencing product and business outcomes
- Experience partnering closely with Product Managers on strategy, roadmap, and execution
- Strong analytical and strategic thinking skills, with the ability to operate effectively in ambiguous environments
- Deep expertise in experimentation, including A/B testing, hypothesis design, and statistical analysis
- Experience working on early-stage or zero-to-one product initiatives (strongly preferred)
- Proficiency in SQL and experience with Python or R
- Experience with BI tools (Looker, Tableau, etc.) and building scalable dashboards
- Strong communication skills, with the ability to influence stakeholders across technical and non-technical teams
- Familiarity with both quantitative and qualitative research methods
Nice To Haves
- Experience working on early-stage or zero-to-one product initiatives
Responsibilities
- Act as the analytical partner to product strategy
- Partner directly with Product Managers, Designers, and Engineers to shape product vision, strategy, and roadmap through data-informed insights
- Translate high-level product bets into clear measurement frameworks, defining success metrics for core user journeys at a company level
- Support prioritization by sizing opportunities, modeling impact, and clarifying trade-offs in ambiguous problem spaces
- Drive decision-making in zero-to-one environments
- Develop analytical approaches where data may be sparse or evolving, creating structure in new product areas
- Identify leading indicators of success for emerging ML/LLM-powered experiences
- Help the team navigate uncertainty by combining data, experimentation, and strong analytical judgment
- Own experimentation and product learning
- Design and evaluate experiments (A/B tests and beyond) to validate product hypotheses and guide iteration
- Partner with Product and ML teams to measure the impact of new features, workflows, and personalization systems
- Establish best practices for experimentation, ensuring rigor while enabling rapid learning cycles
- Build foundational measurement systems
- Define KPIs and metrics frameworks for new and evolving product experiences
- Lead efforts around event instrumentation, tracking taxonomy, and data quality to ensure trustworthy insights
- Collaborate with Data Engineering and ML teams to ensure scalable, reliable data infrastructure
- Translate data into influence
- Communicate insights clearly and persuasively to cross-functional and executive stakeholders
- Provide actionable recommendations that directly inform product direction and roadmap decisions
- Elevate how the organization uses data to make strategic decisions
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
