Group Product Manager, Relevance & Personalization

DeepMind Technologies Limited

Mountain View (CA)

On-site

USD 240,000 - 333,000

Full time

9 days ago

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Job summary

DeepMind Technologies Limited is seeking a Product Manager for the Gemini Relevance Platform to define and execute the strategy for the ML engine that powers discovery and personalization across the Gemini App. You will lead a team of ML engineers and data scientists to turn Gemini into a daily habit for hundreds of millions of users worldwide.

You will own the roadmap from heuristic discovery to deeply personalized experiences, partnering with multiple internal teams.

Qualifications

  • Bachelor’s degree in Computer Science or equivalent practical experience.
  • 10 years of experience in product management or a related role.
  • Experience managing 0-to-1 recommendation systems, ML personalization platforms, or feed/discovery ranking products.

Responsibilities

  • Define the multi-quarter strategy and roadmap for Gemini’s recommendation engine.
  • Lead product development for zero-state discovery, contextual suggestions, and proactive routines.
  • Partner with Growth and Notification Platform teams for ML-driven targeting and lifecycle campaigns.
  • Collaborate with cross-Google teams to leverage signals, knowledge graphs, and embeddings.
  • Establish metrics balancing short-term engagement with long-term persistence.

Skills

PM leadership
Recommendation systems
ML personalization
A/B experimentation
Cross-functional leadership

Education

Bachelor's degree in Computer Science

Tools

N/A

Job description

DeepMind Technologies Limited is seeking a Product Manager for the Gemini Relevance Platform to define and execute the strategy for the ML engine that powers discovery and personalization across the Gemini App. You will lead a team of ML engineers and data scientists to turn Gemini into a daily habit for hundreds of millions of users worldwide.

You will own the roadmap from heuristic discovery to deeply personalized experiences, partnering with multiple internal teams.

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