Google

Technical Program Manager, Antigravity (Data), DeepMind

Google$217K — $237K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field, or equivalent experience.
  • 5 years of experience in program management.
  • Master's degree or PhD in Computer Science or related field preferred.
  • Experience working with modeling research teams.
  • Expertise in building data pipelines and access control policies.

Responsibilities

  • Own the technical roadmap and design for data pipelines and policies.
  • Lead collaboration efforts across teams for data use and adherence to governance standards.
  • Partner with infrastructure teams to enhance data management and tools.
  • Drive the strategy for product usage analytics and reporting dashboards.

Benefits

  • 15% bonus target eligibility.
  • Equity benefits.
  • Comprehensive health benefits.
  • Generous vacation policy.
Full Job Description
Minimum qualifications:
  • 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $217000 - $237000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

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.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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