Lead Product Manager, Personalization & Discovery

Scribd

United States

Teletrabalho

USD 151 000 - 244 000

Tempo integral

Há 11 dias

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Scribd Flex (flexible work model)
Health, dental, vision coverage
Paid time off and holidays
Parental leave and family support
Retirement matching and equity

Resumo da oferta

Scribd, Inc. is seeking a Lead Product Manager for Recommendations. You will own the recommendations experience for 200 million monthly visitors, shaping a long-term strategy across candidate generation, ranking, and results presentation on Scribd’s surfaces.

You’ll partner with Engineering, Analytics, Data Science, Design, and ML teams to define success metrics, run experiments, and deliver high-impact features that drive engagement and subscriptions.

Qualificações

  • 8+ years in product management, with 4+ years on recommendations or search in a high-traffic consumer setting.
  • Proven ML-driven feature shipping that moved metrics at scale.
  • Experience with retrieval, ranking, embeddings, and feature stores.

Responsabilidades

  • Chart multi-year roadmap for candidate generation, ranking, and results presentation across Scribd surfaces.
  • Collaborate with ML Engineering & Applied Research to productionize retrieval and ranking experiments.
  • Define metrics: engagement, click-through, completion, and subscription effects.

Conhecimentos

PM experience
Recommendations/search
ML familiarity
Embeddings
Communication
Ambiguity handling

Formação académica

Bachelor's in CS/Engineering/Math

Ferramentas

Retrieval/Ranking algorithms
Feature stores

Descrição da oferta de emprego

Scribd, Inc. is seeking a Lead Product Manager for Recommendations. You will own the recommendations experience for 200 million monthly visitors, shaping a long-term strategy across candidate generation, ranking, and results presentation on Scribd’s surfaces.

You’ll partner with Engineering, Analytics, Data Science, Design, and ML teams to define success metrics, run experiments, and deliver high-impact features that drive engagement and subscriptions.

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