Staff Technical Program Manager, AI Innovation and Research

Google•Mountain View, CA

16h•$192,000 - $278,000

About The Position

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. AI Innovation and Research (AIR) accelerates AI innovation by building foundational technology for seamless, intelligent experiences across Platforms and Devices. Through our Aura program, we deliver core AI capabilities for on-device and ambient technologies. Our key focus areas include developing an intelligent Health Companion and a unified, proactive health ecosystem, powering Playground, an AI-first platform democratizing game creation, and scaling production-ready AIR technologies across Platforms and Devices through foundational infrastructure and APIs. As a Technical Program Manager (TPM) in AIR, You will grow in ambiguous, fast-moving environments and communicate effectively with executives, and 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 must be willing to be thoroughly engaged in the entire effort, from beginning to end. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

Requirements

Bachelor's degree in a technical field, or equivalent practical experience.
8 years of experience in program management.
Experience in machine learning or artificial intelligence.

Nice To Haves

Proven experience as a Senior Technical Program Manager managing cross functional projects from conception to deployment in ambiguous environments.
Experience in machine learning and AI project lifecycle, with expertise in AI capabilities, LLMs, or agentic systems.
Experience collaborating with engineering, research, design, and product teams to drive concepts to launch and boost AI adoption and integration.
Ability to build relationships, ensure strategic alignment with executive leadership, and articulate goals and roadblocks to stakeholders.
Demonstrated resilience in navigating technical challenges, mitigating risks, and adapting to continuously evolving requirements while ensuring smooth project execution.

Responsibilities

Lead the end-to-end execution of complex, multi-quarter technical roadmaps for AI/ML features, defining project scope and high-impact deliverables that align with Platforms and Devices strategies from initial conception to launch.
Partner closely with Engineering and Product leads to shape technical direction, serving as a critical communication bridge to synthesize complex project progress, priorities, and challenges for leadership.
Identify, analyze, and mitigate potential risks to keep fast-moving projects on schedule, advocating for best practices in program execution and resource coordination across geographically dispersed teams.
Create strong, trusted relationships with global engineering managers, product teams, and research partners, fostering a culture of collaboration and mutual accountability to achieve successful outcomes.
Advocate AI-first and agentic collaboration by continuously identifying improvement areas, driving and deploying solutions that boost velocity for both program management and the overall team.