Data Infrastructure TPM for Antigravity AI

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

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