Lead Product Manager, Recommendations

Scribd
San Francisco, Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Los Angeles, Miami, New York, Phoenix, Sacramento, Salt Lake City, San Diego, Seattle, Washington, Ottawa, Toronto, Vancouver, Mexico City
Full timeUSD 177,000 - 256,000 annuallyFunction: Product ManagementExperience: 8+ yearsEducation: bachelorsSkills: ["Written communication","Verbal communication","Cross-functional collaboration","Data-driven decision making"]

Own Scribd’s recommendations experience, guiding a multi-year roadmap from candidate generation to ranking and results presentation. Partner with ML Engineering & Applied Research to translate retrieval and ranking research into production personalization using embeddings and real-time behavioral data. Define and monitor metrics that matter across engagement, click-through, completion, and downstream subscription conversion and retention. Ship relevance improvements aligned to Scribd’s AI strategy while integrating customer feedback and experiment learnings.

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FursaFursa
Scribd
Scribd
1 month ago

Lead Product Manager, Recommendations

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Own Scribd’s recommendations experience, guiding a multi-year roadmap from candidate generation to ranking and results presentation. Partner with ML Engineering & Applied Research to translate retrieval and ranking research into production personalization using embeddings and real-time behavioral data. Define and monitor metrics that matter across engagement, click-through, completion, and downstream subscription conversion and retention. Ship relevance improvements aligned to Scribd’s AI strategy while integrating customer feedback and experiment learnings.
Location: San Francisco, Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Los Angeles, Miami, New York, Phoenix, Sacramento, Salt Lake City, San Diego, Seattle, Washington, Ottawa, Toronto, Vancouver, Mexico City
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Own a multi-year recommendations strategy spanning candidate generation, ranking, and results presentation across Scribd surfaces.
  • •Partner with ML Engineering & Applied Research to translate retrieval and ranking research into production personalization systems using collaborative signals, content embeddings, and real-time behavioral data.
  • •Define and monitor leading indicators for recommendations success, including engagement rate, click-through, content completion, and downstream subscription conversion and retention.
  • •Ship incremental relevance improvements that balance short-term revenue goals with a long-term extensible recommendations platform aligned to Scribd’s AI strategy.
  • •Synthesize experiment results, behavioral analytics, user interviews, and feedback to prioritize features, and align stakeholders with clear requirements, timelines, deliverables, and impact.

Pay and Benefits

Salary: USD 177,000 - 256,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionPaid LeaveParental LeaveRetirement MatchingLearning BudgetWellness StipendHome OfficeEmployee Equity

Key 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, with the ability to reason about end-to-end customer journeys for distinct segments.
  • •Track record thriving amid ambiguity by shaping multi-year vision, aligning cross-functional teams, and delivering incremental wins.
  • •Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
Experience:8+ yearsConsumerMachine learningRecommendationsSearch
Education:Bachelor's in Computer Science, Engineering, Mathematics, or related technical field
Skills:Written communicationVerbal communicationCross-functional collaborationData-driven decision making
Tech Stack:Machine learningRetrievalRanking algorithmsEmbeddingsFeature storesSQLLLMGenAIML ops

Company Brief

Scribd
Scribd operates a subscription-based digital library offering unlimited access to books, audiobooks, magazines, and documents. The platform provides personalized recommendations and distribution tools for authors and publishers worldwide.
Industry: Publishing
Company Size: Medium (51 to 250 employees)
Growth: Established Company
Headquarters: San Francisco, United States
Founded: 2007
WebsiteLinkedIn