Technical Program Manager, Antigravity (Data), DeepMind

Google Inc.; Mountain View, Northern (CA, KY); Hybrid; USD 217,000 - 236,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google DeepMind is seeking a Technical Program Manager to own and lead data infrastructure initiatives for the Antigravity team in Mountain View. You will steward data pipelines powering modeling flywheels, evaluation frameworks, and product telemetry, collaborating with research and engineering across DeepMind and Google.

The role requires strong technical depth in data engineering at scale, familiarity with agentic product data use cases, and cross-team leadership to drive complex projects and

Qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• Master's degree preferred in CS or related field.

Responsibilities

• Own the technical roadmap, design, and execution of end-to-end data pipelines and policies to ensure training and evaluation are supported by robust infrastructure.
• Lead collaborations across Google for data use and tracking, ensuring compliance with data governance, privacy standards, and security policies.
• Partner with infrastructure teams to improve data management and telemetry tooling, optimizing pipelines to accelerate research velocity.
• Drive strategy and implementation for product usage analytics and dashboards to support data needs and executive reporting across Google.

Skills

Cross-functional leadership

Data engineering at scale

Product analytics

SQL

Education

Bachelor's degree in CS or related field

Master's degree in CS or related field

Tools

Policy management tooling

Telemetry tooling

Job description

Technical Program Manager, Antigravity (Data), DeepMind

DeepMind Mountain View, CA, USA

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of experience in program management.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience working with modeling research teams, including understanding model training and evaluation needs.
• Experience building data pipelines and access control policies for agentic systems and understanding of data infrastructure tooling/frameworks and policy management.
• Ability to lead complex projects with cross-team stakeholders and drive alignment across organizational boundaries.
• Strong problem-solving skills, proficiency in SQL queries, and experience building product analytics pipelines/dashboards.

About the job

We are looking for a Technical Program Manager to own and lead critical data infrastructure initiatives for the Antigravity team. In this role, you will be the steward of the data pipelines that power our modeling flywheel, evaluation frameworks, and product telemetry.

This role requires strong technical depth in data engineering at scale, familiarity with data use cases for an agentic product, and close collaboration with research and engineering teams across DeepMind and Google.

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 diverse 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: $217000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Own the technical roadmap, design, and execution of end-to-end data pipelines and policies to ensure training and evaluation are supported by robust infrastructure.
• Lead collaborations across Google for data use and tracking, ensuring compliance with data governance, privacy standards, and security policies.
• Partner with infrastructure teams to improve data management and telemetry tooling, optimizing pipelines to accelerate research velocity.
• Drive strategy and implementation for product usage analytics and dashboards to support data needs and executive reporting across Google.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.