Senior Product Manager, Gemini Post Training, DeepMind
Google DeepMind · Mountain View, CA · 5 days ago
On-siteEngineeringFull-time
About the role
At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
Responsibilities
- Define key capabilities and translate them into measurable evaluation goals for each model release cycle.
- Curate and evolve the post-training evaluation suite to accurately gauge model quality, readiness, and performance.
- Anticipate measurement needs 2–3 release cycles ahead, partnering with teams to develop evaluations for emerging capabilities.
- Collaborate closely with researchers and training leads to analyze checkpoints, interpret results, and guide daily training runs.
- Investigate and resolve high-impact issues, such as output regressions and behavioral artifacts, by rallying cross-functional teams to implement fixes.
Requirements
- Bachelor's degree or equivalent practical experience
- 8 years of experience in product management or a related technical role
- 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.)
Preferred qualifications
- Ability to interpret model evaluations, identify regressions, and understand performance changes beyond tracking dashboards
- Ability to engage in substantive training discussions regarding data quality and trade-offs with researchers
- Ability to grow in fast-paced, ambiguous environments with rapidly shifting priorities and roadmaps
- Ability to judge outputs to spot subtle capability, formatting, or tonal issues
- Ability to act as a bridge across teams inside and outside of a team to align priorities and drive action
Benefits
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $256000 - $279000 (USD) + 20% bonus target + equity + benefits