Senior Product Manager: AI Model Training & Evaluation

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

Job summary

Google DeepMind seeks a Senior Product Manager embedded in Gemini research and model training. You will read evaluations, analyze model outputs, and make judgment calls on quality alongside researchers, translating user needs into product priorities and feedback loops for fast-moving, research-driven development.

You will collaborate with researchers, training leads, and engineers to shape evaluation frameworks and ensure product relevance for billions of users, balancing technical depth with

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.

Education

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

Job description

Google DeepMind seeks a Senior Product Manager embedded in Gemini research and model training. You will read evaluations, analyze model outputs, and make judgment calls on quality alongside researchers, translating user needs into product priorities and feedback loops for fast-moving, research-driven development.

You will collaborate with researchers, training leads, and engineers to shape evaluation frameworks and ensure product relevance for billions of users, balancing technical depth with