Lead Product Manager, Recommendations
Seattle, Washington, United StatesAll locationsSeattle, Washington, United StatesSan Francisco, California, United StatesOttawa, Ontario, CanadaPhoenix, Arizona, United StatesToronto, Ontario, CanadaLos Angeles, California, United StatesDenver, Colorado, United StatesSalt Lake City, Utah, United StatesAtlanta, Georgia, United StatesChicago, Illinois, United StatesHouston, Texas, United StatesPortland, Oregon, United StatesNew York City, New York, United StatesVancouver, British Columbia, CanadaSan Diego, California, United StatesWashington, D.C., Washington, D.C., United StatesSacramento, California, United StatesJacksonville, Florida, United StatesMexico City, MexicoAustin, Texas, United States On-site
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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'll work at the intersection of ML and product to surface the right content to the right person, at the right time.
What you'll bring
- 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)
- Hands-on proficiency with AI tools for productivity and analytics — including LLM-powered workflows, SQL copilots, and data exploration tools — to move fast, prototype ideas, and pressure-test assumptions without always needing engineering support
- Experience designing LLM- and GenAI-enhanced discovery experiences that go beyond raw recommendations to deliver personalized, task-specific value
- Familiarity with modern ML ops tooling
- At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range.
- Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location.
- San Francisco is our highest geographic market in the United States.