Hiring: Senior Product Manager, Gemini Post Training, DeepMind Company: Google DeepMind Location: Mountain View, CA Job Posted Time: 2026-09-10 11:02:07 Target Skills & Keywords : AI, Embedded Systems, Product Management About the job 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.). Required Skills: •Learn more about benefits at Google . •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. Qualifications: •Bachelor's degree or equivalent practical experience. •Demonstrated capacity to act as a bridge across teams inside and outside of a team to align priorities and drive action. •Demonstrated capacity to interpret model evaluations, identify regressions, and understand performance changes beyond tracking dashboards. •Demonstrated capacity to engage in substantive training discussions regarding data quality and trade-offs with researchers. •Demonstrated capacity to grow in changing, ambiguous environments with rapidly shifting priorities and roadmaps. •Demonstrated capacity to judge outputs to spot subtle capability, formatting, or tonal issues. •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. •As a Senior Product Manager, you will be embedded directly in the research and model training process for Gemini models. You will be in the room during training — reading evaluations, analyzing model outputs, and making judgment calls on quality alongside researchers. Compensation: •US: $256000 - $278000 (USD) + 20% bonus target + equity + benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!