Lead Product Manager, Recommendations
Core
Own Scribd's recommendations experience to help 200M monthly visitors discover content across 300M documents by defining vision, metrics, and roadmap at the intersection of ML and product.
Role type
Lead Product Manager (Recommendations & Search)
Builds
Personalized content discovery surfaces, retrieval and ranking systems, and extensible recommendations platform aligned with AI strategy.
Domain
Digital publishing, consumer internet, machine learning, and personalization.
Deliverable
product features
Required skills
Product management, recommendations strategy, ML-driven feature definition, metrics definition, cross-functional leadership, data synthesis, stakeholder communication
Preferred skills
LLM and GenAI experience, ML ops tooling, AI productivity tools
Technologies
Retrieval algorithms, ranking algorithms, embeddings, feature stores, SQL, LLMs
Responsibilities
Chart long-term recommendations strategy spanning candidate generation, ranking, and results presentation; Partner with ML Engineering to translate research into production systems; Define and monitor leading indicators of success (engagement, conversion, retention); Balance short-term wins with long-term vision; Fuse data with customer voice to inform prioritization; Communicate requirements and impact to stakeholders
Seniority
Senior, hands-on IC
