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# Staff Technical Program Manager, Gemini Robotics, DeepMind

- **Company:** Google LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $256,000.0 - $279,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Data Strategy
- **Published:** July 18, 2026
- **Apply:** https://dejobs.org/x/x/C4138CF42A074711969B33C8A2C73D64/job/

## About the Role

* Bachelor's degree or equivalent practical experience.
 * 8 years of experience in technical program management.

Preferred qualifications:

 * 4 years of experience working in the field of robotics and computer vision.
 * Excellent project manager and takes initiative, with the ability to work separately and on multiple initiatives at the same time.
 * Excellent problem-solving skills, strategic and investigative capabilities.

## Description

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., * Lead the planning and execution of complex, multi-disciplinary technical programs for Gemini Robotics, from foundational research to real-world deployment.

 * Partner closely with executive research and engineering leaders to translate high-level strategy into actionable program roadmaps, setting clear goals and objectives.
 * Drive programs that integrate large-scale AI models (Gemini) with physical robotics platforms, addressing unique challenges in latency, safety, and real-world generalization.
 * Oversee or contribute significantly to the data strategy for robotics, ensuring high-quality data collection, processing, and compliance to support model training.
 * Identify and manage complex risks, dependencies, and changing circumstances in a fast-paced research environment.


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