Senior Product Manager, Reader Experiences & ML

Scribd, Inc.; Houston (TX); Hybrid; USD 117,000 - 210,500; Full time

Benefits offered by this job

Scribd Flex

Health coverage

Paid time off

Parental leave

Equity

Learning programs

Job summary

Scribd, Inc. is seeking a Senior Product Manager to own strategy and roadmap for Everand and Fable, driving high-impact consumer experiences across apps.

You will collaborate with engineering, design, research, and data to ship features and continuously optimize engagement through experimentation and data-driven decision making. Ideal candidates have 5+ years in consumer product management, with a track record in turning pain points into strategy, and experience with ML-based recommendations,

Qualifications

• 5+ years of experience in product management, with consumer products at scale; native mobile apps and subscriptions is a plus.

Responsibilities

• Own the strategy, vision, and roadmap for squad, across Everand and Fable.
• Lead a cross-functional squad with engineering, design, research, and data to ship features.
• Balance large investments with continuous experimentation to improve engagement metrics.
• Guide decisions with qualitative and quantitative data from cross-functional partners.
• Partner with data science and engineering on recommendation, ranking, and search systems.
• Create experiences blending design, editorial insight, and algorithms to help readers find new reads.

Skills

Product management

Cross-functional

Data analytics

Experimentation

Machine Learning

User research

Job description

Scribd, Inc. is seeking a Senior Product Manager to own strategy and roadmap for Everand and Fable, driving high-impact consumer experiences across apps.

You will collaborate with engineering, design, research, and data to ship features and continuously optimize engagement through experimentation and data-driven decision making. Ideal candidates have 5+ years in consumer product management, with a track record in turning pain points into strategy, and experience with ML-based recommendations,