Lead Product Manager, AI-Driven Recommendations

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

Benefits offered by this job

Scribd Flex (flexible work model)

Comprehensive health, dental, and vis​

Generous paid time off and parental le

Retirement matching and equity

Learning and development programs

Job summary

Scribd, Inc. is seeking a Lead Product Manager for Recommendations to own the end-to-end experience across Scribd's surfaces and guide a multi-year roadmap.

You will partner with ML, engineering, analytics, data science, design, and content teams to surface the right content to the right user at the right time. You will define a compelling vision, craft meaningful metrics, and run experiments to deliver breakthrough features that redefine discovery, while balancing revenue goals and long-term

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.
• Exceptional written and verbal communication skills with the ability to present data-backed decisions to senior leadership.

Responsibilities

• Chart the long-term recommendations strategy with a multi-year roadmap across candidate generation, ranking, and results presentation.
• Partner with ML Engineering & Applied Research to translate research into production systems blending signals and embeddings for personalization.
• Define and monitor metrics such as engagement, click-through, content completion, and subscription conversion.

Skills

Product management

ML features

Cross-functional collaboration

Education

Bachelor's degree in CS/Engineering/Math

Job description

Scribd, Inc. is seeking a Lead Product Manager for Recommendations to own the end-to-end experience across Scribd's surfaces and guide a multi-year roadmap.

You will partner with ML, engineering, analytics, data science, design, and content teams to surface the right content to the right user at the right time. You will define a compelling vision, craft meaningful metrics, and run experiments to deliver breakthrough features that redefine discovery, while balancing revenue goals and long-term