Google DeepMind · 1 day ago
Group Product Manager, Gemini App, User Intent & Quality
Google DeepMind is a team of scientists and engineers advancing the state of the art in artificial intelligence. In this role, you will architect the standards for Response Quality in the Gemini App, ensuring a high-quality user experience by defining evaluation frameworks and leading cross-functional efforts to optimize model outputs for critical user journeys.
Artificial Intelligence (AI)Business DevelopmentMachine Learning
Responsibilities
Define the Quality Bar: Develop and maintain North Star metrics for Response Quality, defining "helpfulness" across text, code, and multimodal modalities
Cohort-Specific Optimization: Identify the needs of Critical User Cohorts (e.g., power users vs. casual seekers), analyze performance gaps, and prioritize model tuning to address them
Own User Journey Excellence: Ensure the model provides a frictionless, accurate, and delightful experience for the most vital user journeys
Implicit Alignment & Tuning: Partner with Research and Data Operations to steer model outputs through SFT (Supervised Fine-Tuning) and RLHF, translating qualitative feedback into structured data strategies
Evaluation Strategy: Design and scale sophisticated human-in-the-loop and "LLM-as-a-judge" evaluation pipelines to understand model performance in Side-by-Side (SxS) testing
Qualification
Required
6+ years of progressive experience in product management, including at least 5 years in senior roles leading consumer products
Track record of building consumer products with millions of users that people genuinely love
Experience with AI or ML-powered products and a perspective on how AI will change consumer software
Comfort with ambiguity and the ability to define product direction in a fast-moving, novel space
User-obsessed mindset with a habit of talking to users directly and frequently
Preferred
Expertise in User Psychology to articulate why a response feels 'right' or 'wrong' in context
Data-Obsessed mindset with the ability to find 'signal in the noise' within massive evaluation datasets
Quality-First mindset with a high bar for technical ship-readiness
Ability to exercise Strategic Influence across Research, Engineering, and Content teams
Benefits
Bonus
Equity
Benefits
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
Recent News
2026-01-07
2026-01-07
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