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Job Details
Posted date: Jun 10, 2026
Location: Redmond, WA
Level: Director
Description
Act as the technical authority bridging internal teams with external partners (vendors). Hold all parties accountable to complex milestones, mitigate integration risks, and ensure alignment with strict architectural standards. Own technical execution of major strategic rollouts and refine New Product Introduction (NPI) practices. Drive consistency and quality from concept through global deployment to impact organizational Objectives and Key Results (OKRs). Translate ambiguous scenarios into data-driven roadmaps and white papers. Provide executive visibility and technical authority across supply chain and engineering networks. Partner with engineering leads to define system architectures and expand automated solutions using AI/ML to solve problems. Lead by influence, mentoring team members and breaking down complex challenges while contributing to community initiatives to improve operations and culture.A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
As a Staff Technical Program Manager (TPM), you will act as a technical catalyst multiplier for the team, independently leading the end-to-end delivery of complex, strategic robotics programs. You will serve as the technical engine, diving into the details of system architectures and driving the day-to-day technical road map. A critical component of this role is stepping into highly matrixed, ambiguous relationships to drive technical direction across both internal and external engineering teams. You will play a pivotal role in refining our New Product Introduction (NPI) practices, ensuring we build and deploy high-quality robotic solutions strictly on time and within budget. You will lead by influence, leveraging AI/ML technologies to scale automated solutions, providing executive-level confidence, and mentoring junior TPMs on programmatic best practices.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $279000 (USD) + 20% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Qualifications
Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 8 years of experience in program management. 8 years of experience in robotics, advanced manufacturing, or global supply chain NPI.Preferred qualifications: Master’s degree or MBA. 8 years of experience managing cross-functional or cross-team projects. Experience managing a program portfolio and expanding hardware solutions within highly secure, mission-critical environments. Experience driving organizational change management and leveraging AI/ML technologies for operational efficiency.