Senior Product Manager, Gemini Post Training, DeepMind

Google Inc.; Mountain View (CA); On-site; USD 256,000 - 278,000; Full time

Job summary

Google DeepMind in Mountain View, CA seeks a Senior Product Manager embedded in the Gemini model training process. You will read evaluations, analyze model outputs, and help shape product priorities from research to deployment.

You’ll bridge research and product teams, translating user needs into evaluation goals and roadmaps, guiding iterative improvements in a fast-moving, science-driven environment.

Qualifications

• 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.

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.

Skills

Product management

Cross-functional collaboration

End-to-end product delivery

Education

Bachelor's degree or equivalent practical experience

Job description

DeepMind Mountain View, CA, USA

Required Qualifications

• 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 act as a bridge across teams inside and outside of a team to align priorities and drive action.
• 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 changing, ambiguous environments with rapidly shifting priorities and roadmaps.
• Ability to judge outputs to spot subtle capability, formatting, or tonal issues.

About the job

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. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We’re responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

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. You will be responsible for bringing the mindset of the end user into the training process developing a sense of what users and customers actually need from Gemini, and translating that into the priorities, evaluations, and feedback loops that guide model development. You will need to operate at the intersection of product intuition and technical depth, and be comfortable forming a point of view on model quality, grounding it in real user needs, and advocating for it in a fast-moving, research-driven environment.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Job 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

US: $256000 - $278000 (USD) + 20% bonus target + equity + benefits

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, and are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.