Senior Product Manager - Reader Discovery & Recommendations

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

Benefits offered by this job

Flexible work model

Health coverage

Paid time off

Parental leave

Retirement matching

Learning opportunities

Wellness stipend

AI tools access

Job summary

Scribd, Inc. is hiring a Senior Product Manager to own the strategy, vision, and roadmap for Everand and Fable, guiding a cross-functional squad with engineering, design, research, and data. You will balance big bets with experiments to improve engagement, while leveraging data and user insights for decisions.

You will collaborate with data science on recommendations, ranking, and search, creating experiences that blend joyful design with editorial insight and algorithmic thinking for readers.

Qualifications

• 5+ years in product management for consumer-scale apps.
• Experience with native mobile apps and subscriptions is a plus.
• Turning major pain points into strategy with an opinionated roadmap.
• Fluency partnering with engineers and data scientists on ML experiences.
• Strong mix of quantitative and qualitative research methods.
• Excellent product sense and passion for books.

Responsibilities

• Own the strategy, vision, and roadmap for Everand and Fable squads.
• Lead a cross-functional squad with engineering, design, research, and data.
• Balance large investments with continuous experimentation to improve engagement.
• Guide decisions using qualitative and quantitative data from partners.
• Partner with data science and engineering on recommendations, ranking, and search.
• Create experiences blending design, editorial insight, and algorithmic thinking.

Skills

Product management

ML recommendations

AB testing

User research

Cross-functional collab

Passion for books

Job description

Scribd, Inc. is hiring a Senior Product Manager to own the strategy, vision, and roadmap for Everand and Fable, guiding a cross-functional squad with engineering, design, research, and data. You will balance big bets with experiments to improve engagement, while leveraging data and user insights for decisions.

You will collaborate with data science on recommendations, ranking, and search, creating experiences that blend joyful design with editorial insight and algorithmic thinking for readers.