Lead Product Manager, Search
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Key skills for this role
About the Role
Scribd is looking for a Lead Product Manager to set the strategy and drive execution for the Search team. You will transform the search experience into a best-in-class discovery engine serving 200 million monthly visitors across 300 million documents.
Key Skills for This Role
Responsibilities
- Chart the long term search strategy — own a multi year roadmap spanning query understanding, retrieval, ranking, and results presentation across Scribd's surfaces
- Partner with ML Engineering & Applied Research to translate cutting edge retrieval and ranking research into production systems
- 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
- 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
Requirements
- 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
- Track record of thriving amid ambiguity: shaping a multi year vision, aligning cross functional teams, and delivering incremental wins
- Exceptional written and verbal communication skills
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience)
Full Job Posting
Position Overview
- 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.
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
Qualifications
- 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)
Bonus Points
- Familiarity with modern ML operations tooling — from vector databases to end to end model ops workflows (MLOps / LLMOps)
- Passion for the written word and open knowledge — a genuine drive to build products that democratize expertise and help people learn, teach, and create
Salary Range (Canada)
- In Canada, the reasonably expected salary range is between CAD 179,000 and CAD 228,000.
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