Lead Product Manager – Recommendations and Personalization
Scribd, Inc.
PythonSaltStackSparkSQL
Lead Product Manager – AI Research Experiences
Scribd, Inc.
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteSalary
💰 $157,500 - $255,000 per year
Job Level
Senior
Tech Stack
PythonSaltStackSparkSQL
About the role
- Chart the zero to one strategy for Research Journey experiences from concept to scale, with tight alignment across adjacent product areas.
- Partner with Machine Learning, Engineering, Applied Research, and the Synthesis team to bring document grounded insights into reading and workspace flows, shipping reliable production features with clear provenance.
- Define the metrics that matter for the research journey, and connect them to conversion, retention, and LTV.
- Balance short term wins with long term vision, delivering incremental improvements while building a durable research engine aligned with Scribd’s 3 year AI strategy.
- Fuse data with the voice of the customer, synthesizing experiment results, analytics, and user research to inform prioritization and design.
- Communicate with clarity and influence, aligning product, engineering, design, content, and executive stakeholders on requirements, timelines, deliverables, and expected impact.
- Design experiences enabling researchers to find, understand, pull together context from multiple documents, and produce shareable results with clear source traceability.
- Set a clear vision and north star, pick metrics, validate with fast experiments, and ship features that cut time to insight and produce shareable outputs with clear provenance.
- Partner closely with Design, UXR, Engineering, ML, and the Synthesis team, grounding decisions in user insights, crisp strategy, and practical LLM know-how.
Requirements
- 7+ years of product management with senior IC ownership, including taking products from zero to one.
- Demonstrated success shipping AI or LLM-powered features that improved core outcomes such as time to insight, task completion, or trust at scale.
- Strong product sense and interaction design instincts that make complex information feel simple and reliable.
- Practical depth in retrieval and prompting, and facility with tradeoffs among quality, latency, and cost.
- Track record of thriving amid ambiguity by shaping a multi-year vision, aligning cross-functional teams, and delivering incremental wins.
- Exceptional written and verbal communication, from product briefs to data backed decisions for senior leadership.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
- Hands-on proficiency with SQL and a scripting language such as Python for quick analysis, prototyping, and evaluation. (Bonus)
- Familiarity with modern LLM operations and retrieval tech. (Bonus)
- Passion for the written word and open knowledge—a genuine drive to build products that democratize expertise and help people learn, teach, and create. (Bonus)
- Must have primary residence in or near one of the listed cities (US, Canada, or Mexico) and be able to attend occasional in-person moments.
