Senior Product Manager, Gemini Post Training, DeepMind

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

Job summary

Google DeepMind in Mountain View seeks a Senior Product Manager to be embedded in the research and model training process for Gemini models. You will participate in evaluations, read outputs, and make judgment calls on quality alongside researchers.

You will translate end-user needs into priorities and feedback loops guiding model development, balancing product intuition with technical depth in a fast-moving research 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 (e.g., ideation to execution, end-to-end, 0 to 1).

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 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

Bridge across teams

Interpret model evaluations

Data quality training discussions

Adapt in Ambiguous environments

Quality judgment on outputs

Education

Bachelor's degree or equivalent practical experience

Job description

Minimum 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.

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

Learn more about benefits at Google.

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.