Lead Product Manager, Search
Austin, Texas, United StatesAll locationsAustin, Texas, 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 StatesSeattle, Washington, United StatesMexico City, Mexico On-site
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About the role
We're looking for a Lead Product Manager to set the strategy and drive execution for Scribd's Search team. In this pivotal role, you'll transform our search experience into a best-in-class discovery engine serving 200 million monthly visitors across a corpus of 300 million documents. Leveraging advanced retrieval and ranking algorithms, LLM-powered semantic understanding, and fine-grained behavioral signals, you'll deliver highly relevant search results that help students, educators, and professionals find exactly what they need — fast. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.
What you'll bring
- Here's what that means for you: we're looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude
- The ideal candidate combines deep technical fluency in ML/AI with seasoned product management chops and a track record of translating data-driven insights into meaningful product wins
- 6+ years of product management experience, including 4+ years leading search or recommendations products in a high-traffic consumer environment
- Demonstrated success shipping ML-driven features that moved core business metrics (engagement, conversion, or revenue) for large scale products
- Experience designing LLM- and GenAI-enhanced user experiences that go beyond raw chat to deliver task-specific value
- Hands-on proficiency with SQL and a scripting language (Python or R) for rapid data exploration, proficiency with prototyping tools, and model evaluation
- 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, bringing in inputs from multiple teams, 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)
- Familiarity with modern ML operations tooling — from vector databases to end-to-end model-ops workflows (MLOps / LLMOps) — and the ability to collaborate with engineering teams that rely on these systems
- Passion for the written word and open knowledge — a genuine drive to build products that democratize expertise and help people learn, teach, and create