Scribd, Inc. is hiring a Lead Product Manager, Search

Responsibilities

• Chart the long-term search strategy — own a multi-year roadmap spanning query understanding, retrieval, ranking, and results presentation across Scribd's surfaces, guiding every user from intent to the right document
• Partner with ML Engineering & Applied Research — translate cutting-edge retrieval and ranking research into production systems that blend semantic embeddings, BM25, and real-time behavioral signals for best-in-class relevance
• Define the metrics that matter — establish and monitor leading indicators of search success: query success rate, zero-result rate, click-through, and downstream subscription conversion and retention
• Balance short-term wins with long-term vision — ship incremental relevance improvements that hit revenue goals while building an extensible search platform aligned with Scribd's 3-year AI strategy
• Fuse data with the voice of the customer — synthesize experiment results, query analytics, user interviews, and feedback sessions to inform prioritization and feature design
• Communicate with clarity and influence — align product, engineering, design, content, and executive stakeholders by clearly articulating requirements, timelines, deliverables, and expected impact, securing buy-in at every stage

Requirements

• 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)

Nice to Have

• 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

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

Work Arrangement

Hybrid — 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

Additional Information

• Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location
• Employees must have their primary residence in or near one of the following cities: 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
• Candidates can inform Scribd of any reasonable adjustments needed for the interview process by emailing accommodations@scribd.com