Lead, AI-Driven Content Discovery

Scribd, Inc.; Seattle (WA); On-site; USD 151,000 - 244,000; Full time

Benefits offered by this job

Scribd Flex

Competitive benefits

Employee equity

Job summary

Scribd, Inc. in Seattle is seeking a Lead Product Manager for the Recommendations experience, overseeing a high-traffic ML-driven discovery layer that serves hundreds of millions of monthly visitors.

You will define a multi-year roadmap, partner with ML Engineering, Analytics, Data Science, Design, and iterate on metrics that move engagement and subscriptions, while communicating clearly with stakeholders.

Qualifications

• 8+ years of product management experience, including 4+ years leading recommendations or search products in a high-traffic consumer environment.
• Demonstrated success shipping ML-driven features that moved core business metrics (engagement, conversion, or revenue) at scale.
• 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 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)

Responsibilities

• Chart the long-term recommendations strategy — own a multi-year roadmap spanning candidate generation, ranking, and results presentation across Scribd's surfaces, guiding every user from interest to the right document.
• Partner with ML Engineering & Applied Research — translate cutting‑edge retrieval and ranking research into production systems that blend collaborative signals, content embeddings, and real‑time behavioral data for best‑in‑class personalization.
• Define the metrics that matter — establish and monitor leading indicators of recommendations success: engagement rate, click‑through, content completion, 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 recommendations platform aligned with Scribd's 3‑year AI strategy.
• Fuse data with the voice of the customer — synthesize experiment results, behavioral analytics, user interviews, and feedback 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

Skills

PM leadership

ML-driven features

Retrieval & ranking

Ambiguity handling

Communication

Cross-functional collaboration

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field

Job description

Scribd, Inc. in Seattle is seeking a Lead Product Manager for the Recommendations experience, overseeing a high-traffic ML-driven discovery layer that serves hundreds of millions of monthly visitors.

You will define a multi-year roadmap, partner with ML Engineering, Analytics, Data Science, Design, and iterate on metrics that move engagement and subscriptions, while communicating clearly with stakeholders.