Senior Technical Program Manager, Gemini Evals, DeepMind
Company: Google
Location: Mountain View
Posted on: April 3, 2026
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Job Description:
Minimum qualifications: Bachelor's degree in a technical field,
or equivalent practical experience. 8 years of experience leading
engineering projects across multiple geographies and time zones. 3
years of experience in people management. Preferred qualifications:
Experience in Large Language Model (LLM) evaluations, model
training, model releases, or data science. Ability to quickly learn
and deeply understand the technical aspects of the programs from
interface to infrastructure, serving, and customer issues, and
drive technical discussions. Excellent skills in managing complex
stakeholder relationships. About the job Google's projects, like
our users, span the globe and require managers to keep the big
picture in focus while being able to dive into the unique
engineering challenges we face daily. As a Technical Program
Manager at Google, you lead complex, multi-disciplinary engineering
projects using your engineering expertise. You plan requirements
with internal customers and usher projects through the entire
project lifecycle. This includes managing project schedules,
identifying risks and clearly communicating them to project
stakeholders. You're equally at home explaining your team's
analyses and recommendations to executives as you are discussing
the technical trade-offs in product development with engineers.
Using your extensive technical and leadership expertise, you manage
various Engineering-specific programs and teams. The Gemini Evals
team is responsible for developing new ways to test and measure
model performance. This is an open-ended problem that requires
close collaboration between research and engineering and applying
the state of the art AI/ML to conversational problems. Artificial
intelligence will be one 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 diverse
learning opportunities and varied career pathways for those driven
to achieve exceptional results through collective effort. The US
base salary range for this full-time position is $256,000-$278,000
bonus equity benefits. Our salary ranges are determined by role,
level, and location. Within the range, individual pay is determined
by work location and additional factors, including job-related
skills, experience, and relevant education or training. Your
recruiter can share more about the specific salary range for your
preferred location during the hiring process. Please note that the
compensation details listed in US role postings reflect the base
salary only, and do not include bonus, equity, or benefits. Learn
more about benefits at Google . Responsibilities Collaborate
closely with the engineering team to support infrastructure
development, meticulously track priorities, issues, deeply
understand evaluation and experimentation results, coordinate
alignment and, assessment with model teams. Collaborate with data
scientists to design and integrate model evals, execute evals, and
conduct loss analysis to inform model quality. Manage Gemini
autorater platform and Gemini Eval area compute capacity planning.
Provide proactive status updates to stakeholders, and effectively
triage autorater issues back to the modeling team. Guide strategic
goal and tactical delivery. Lead with high agency. Proactively
identify workflow gaps and implement scalable improvements to
optimize efficiency and output quality.
Keywords: Google, Hayward , Senior Technical Program Manager, Gemini Evals, DeepMind, Engineering , Mountain View, California