Lead Product Analyst

About the role

Scribd is evolving from a document library to a platform for active knowledge building. As a Lead Product Analyst, you will partner with Product Managers, Designers, and Engineers to drive this transformation. You will define success metrics, de-risk product bets, and translate user behavior into clear product direction.

Responsibilities

• 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

Requirements

• 7+ years of experience in product analytics or a related field, with a track record of influencing product and business outcomes
• 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

Qualifications

• BS/BA degree in Computer Science, Statistics, Economics, Business Administration, or a related field
• Experience with machine learning and natural language processing technologies
• Understanding of user-centered design principles and methodologies
• Experience with agile methodologies and iterative development processes

Skills

• Data analysis and interpretation
• Experimentation and hypothesis testing
• Statistical modeling and inference
• Product management and strategy
• Communication and stakeholder engagement

Benefits

• 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
• Retail 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

Pay

The reasonably expected salary range for this role is between $119,000 [minimum salary in our lowest US geographic market outside of California] to $203,000 [maximum salary in our highest US geographic market outside of California].

Schedule

Flexible work schedule with occasional in-person attendance required.