Technical Program Manager, Scientific Intelligence

Google LLC; Mountain View (CA); On-site; USD 192,000 - 278,000; Full time

Job summary

Google DeepMind in Mountain View seeks a Technical Program Manager for Science & Reasoning on Gemini. You will lead cross-disciplinary engineering programs from requirements with internal customers through to delivery across Gemini releases.

You will audit benchmarks, shape data and training priorities with researchers, manage schedules, risks, and communicate trade-offs to executives. A background in AI/ML, Python, SFT and RL is expected; candidates with PhD welcome.

Qualifications

• Bachelor's degree in Life Science (e.g., Computational Biology, Chemistry), Physical Science (e.g., Physics, Materials Science), Mathematics, or Computer Science, or equivalent practical experience.
• 5 years of experience with technical programs, research engineering, or applied AI/ML projects (or 3 years with a PhD).

Responsibilities

• Lead complex, multi-disciplinary engineering projects from requirements with internal customers through the entire project lifecycle.
• Plan requirements with internal customers and usher projects through schedules, risks, and stakeholder communications.
• Drive end-to-end execution for data collection, synthetic data generation, SFT, and verifiable RL training environments.
• Curate and audit evaluation suites for scientific reasoning and agentic workflows.

Skills

Technical program management

Research engineering

Python

Education

Bachelor's degree in Life Science/CS/Math/Physics

PhD (optional for 3 years experience)

Tools

Python

Job description

Google DeepMind in Mountain View seeks a Technical Program Manager for Science & Reasoning on Gemini. You will lead cross-disciplinary engineering programs from requirements with internal customers through to delivery across Gemini releases.

You will audit benchmarks, shape data and training priorities with researchers, manage schedules, risks, and communicate trade-offs to executives. A background in AI/ML, Python, SFT and RL is expected; candidates with PhD welcome.