About the Role
In this role, you'll own Scribd's recommendations experience, helping 200 million monthly visitors discover content they didn't know they were looking for across a corpus of 300 million documents. You will work at the intersection of ML and product to surface the right content to the right person at the right time. Success means defining a compelling vision, crafting metrics that truly matter, and experimenting your way to breakthrough features that redefine discovery in close partnership with Engineering, Analytics, Data Science, Design, and Machine Learning teams.
Responsibilities
- Chart the long-term recommendations strategy, owning a multi-year roadmap spanning candidate generation, ranking, and results presentation across Scribd's surfaces, guiding every user from interest to the right document.
- Partner with ML Engineering & Applied Research to translate cutting-edge retrieval and ranking research into production systems that blend collaborative signals, content embeddings, and real-time behavioral data for best-in-class personalization.
- Define the metrics that matter, establishing and monitoring leading indicators of recommendations success: engagement rate, click-through, content completion, and downstream subscription conversion and retention.
- Balance short-term wins with long-term vision by shipping incremental relevance improvements that hit revenue goals while building an extensible recommendations platform aligned with Scribd's 3-year AI strategy.
- Fuse data with the voice of the customer by synthesizing experiment results, behavioral analytics, user interviews, and feedback to inform prioritization and feature design.
- Communicate with clarity and influence to align product, engineering, design, content, and executive stakeholders by clearly articulating requirements, timelines, deliverables, and expected impact.
Requirements
- 8+ years of product management experience, including 4+ years leading recommendations or search products in a high-traffic consumer environment.
- Demonstrated success shipping ML-driven features that moved core business metrics (engagement, conversion, or revenue) at scale.
- Deep familiarity with retrieval and ranking algorithms, embeddings, and feature stores, paired with the ability to reason about end-to-end customer journeys for distinct user segments.
- Track record of thriving amid ambiguity: shaping a multi-year vision, aligning cross-functional teams, and delivering incremental wins along the way.
- Exceptional written and verbal communication skills — adept at crafting product briefs and presenting data-backed decisions to senior leadership.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
Skills
- AI tools for productivity and analytics
- LLM-powered workflows
- SQL copilots
- Data exploration tools
- LLM- and GenAI-enhanced discovery experiences
- Modern ML ops tooling
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
- 8+ years of product management experience
- 4+ years leading recommendations or search products
Education Level
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience)
Salary/Compensations
- California: $177,000 - $256,000
- United States (outside California): $151,000 - $244,000
- Canada: $179,000 CAD - $228,000 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. 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.
- 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.
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.
