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Snapshot

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

About Us

As a Technical Program Manager for Data Infrastructure, you will focus on a critical, rapidly evolving area in the Gemini data domain: the pretraining and post-training stack that is critical to processing and improving data for Gemini model training. You will be a hands-on driver of technical programs, embedding with engineering and research teams to enhance the recipes, performance, reliability, and scalability of the infrastructure that powers our most advanced model training workload.

The Role

This role is for a TPM who thrives on ambiguity and technical depth. You will lead concrete engineering initiatives, from driving performance optimization programs to owning the execution of reliability roadmaps. Your work will have a direct and measurable impact on the quality of our models and the velocity of our data research.

Key responsibilities:

+ Be the overall program point-of-contact (PoC) for Data Infrastructure portfolio of projects.

+ Simplify and streamline technical data infrastructures stack and operations for web data processing and other critical data infrastructures, deeply understand the technical complexity in web data pipeline and infrastructure stack.

+ Drive technical program to focus on delivering and optimizing the performance and efficiency of the web data and beyond. This includes quantitative analysis, developing shared dashboards, and guiding engineering execution on improvements.

+ Execute key projects from the data infra and related areas, such as improving monitoring tools and centralizing core services, to enhance the stability of the entire stack.

+ Manage the engineering backlog and tactical execution for core RL framework development, ensuring progress is tracked and aligned with the team's strategic roadmap.

+ Build effective working relationships with engineering teams, guiding alignment on project goals, managing interdependencies, and ensuring clear communication and risk management.

+ Contribute to the broader program management of the Data Area, providing clear stakeholder updates and supporting team-wide events.

About You

In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:

+ Bachelor's degree in a technical field or equivalent practical experience.

+ 5 years of experience in program or project management in a technical software environment.

+ Experience working directly with engineering teams on the software development lifecycle.

+ Excellent interpersonal and communication skills, with a demonstrated ability to work effectively in ambiguous, fast-paced R&D environments.

In addition, the following would be an advantage:

+ 5+ years of relevant work experience in technical domains.

+ Experience with machine learning workflows and infrastructure, particularly in training, post-training, or MLOps. Direct experience with large scale data processing is a strong plus.

+ Strong analytical skills, with experience in performance analysis, or technical efficiency projects.

+ Proficiency with project management and development tools for managing technical backlogs.

The US base salary range for this full-time position is between $183,000 - $271,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

Deadline: December 5, 2025

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.