Technical Program Manager, AI Research

Technical Program Manager, Ai Research

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.

We are a dedicated team of AI specialists, working closely with Platforms and Devices product teams as they approach launch, ensuring seamless AI integration and successful delivery of AI-powered products and services.

As a Technical Program Manager (TPM) in AIR, you will not only grow in ambiguous, fast-paced environments and communicate effectively with executives, but also to be deeply involved in your areas of responsibility. This means making tangible, direct contributions to your efforts, which can range from operational to highly technical, depending on the circumstances. You will be thoroughly engaged in the entire effort, from beginning to end.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Lead the execution of complex, multi-quarter technical roadmaps for AI/ML features, driving projects from initial conception through to successful, measurable launch.

Advocate for and implement best practices for program execution, resource coordination, and velocity across geographically dispersed teams and multiple time zones.

Define project scope, technical goals, and high-impact deliverables that align with broader Platform and Devices strategies.

Intake and assess AI support requests, translating ambiguous needs into concrete, actionable engineering projects and coordinating resource staffing and priorities across the Platforms and Devices (P&D) organization.

Partner closely with Engineering and Product leads to shape the technical and product direction, ensuring clarity and alignment on key product decisions both at intake and throughout the delivery life-cycle.