Lead Product Manager, Recommendations — ML-Driven Discovery

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

Benefits offered by this job

Scribd Flex

Health coverage

Mental health support

Paid time off

Parental leave

Retirement matching

Professional growth

Wellness stipend

Product access

AI tools access

Job summary

Scribd, Inc. in the United States seeks a Lead Product Manager for Recommendations to own the end-to-end discovery experience for 200 million monthly visitors.

You will define a compelling vision, establish metrics, and work with ML and engineering teams to surface the right content at the right time. You will partner with Engineering, Analytics, Data Science, Design and ML to ship features that drive engagement and subscription growth, while building an extensible platform aligned with Scribd's

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 multi-year recommendations roadmap across candidate generation, ranking, and results presentation.
• 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 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.
• 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

Product management

ML features

Data analysis

Communication

Cross-functional leadership

Ambiguity handling

Education

Bachelor's degree in CS/Engineering/Math

Tools

Retrieval algorithms

Embeddings

Feature stores

Job description

Scribd, Inc. in the United States seeks a Lead Product Manager for Recommendations to own the end-to-end discovery experience for 200 million monthly visitors.

You will define a compelling vision, establish metrics, and work with ML and engineering teams to surface the right content at the right time. You will partner with Engineering, Analytics, Data Science, Design and ML to ship features that drive engagement and subscription growth, while building an extensible platform aligned with Scribd's