Senior Product Manager, Reading Experience & ML

Scribd, Inc.

Los Angeles (CA)

Hybrid

USD 142,000 - 221,500

Full time

14 days+
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Benefits offered by this job

Scribd Flex (flexible work model)
Health, dental, vision coverage
Paid time off and holidays
Parental leave and family support
Retirement matching & equity
Learning & development programs
Wellness & home office stipends
Access to AI tools

Job summary

Scribd, Inc. is hiring a Senior Product Manager to own the strategy and roadmap for Everand and Fable, working with engineers, designers, researchers, and data scientists to ship features that improve engagement and reader experience.

You will balance qualitative and quantitative data, partner with data science on recommendation and search systems, and craft experiences that blend design with editorial insights and algorithmic thinking.

Qualifications

  • 5+ years of product management for consumer products at scale.
  • Experience with 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 investments with experimentation to improve engagement metrics.
  • Collaborate 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

Strategy & roadmaps
Cross-functional leadership
Data-driven decision making
Machine Learning experience
Qualitative & quantitative research
Communication & writing
Passion for books

Tools

ML/Ranking systems
A/B testing

Job description

Scribd, Inc. is hiring a Senior Product Manager to own the strategy and roadmap for Everand and Fable, working with engineers, designers, researchers, and data scientists to ship features that improve engagement and reader experience.

You will balance qualitative and quantitative data, partner with data science on recommendation and search systems, and craft experiences that blend design with editorial insights and algorithmic thinking.

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