Staff Technical Program Manager, AI Innovation and Research

Socket.dev; Mountain View (CA); On-site; USD 192,000 - 278,000; Full time

Job summary

Google is seeking a Technical Program Manager to lead multi-disciplinary AI/ML initiatives, coordinating with engineering, research, design, and product teams to drive concepts to launch.

You will plan requirements, identify risks, manage schedules, and communicate tradeoffs to executives and engineers alike, advancing AI innovation within Platforms & Devices.

Qualifications

• 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.

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.

Skills

Program management

AI/ML familiarity

Education

Bachelor's degree in a technical field

Equivalent practical experience

Job description

Minimum qualifications:

• 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.

Preferred qualifications:

• 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.

About the job:

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) is focused on accelerating AI innovation and redefining how users interact with computing. We build the foundational technology that powers seamless, intelligent, and proactive user experiences across Platforms & Devices. As a Technical Program Manager (TPM), you will join a dedicated organization of AI specialists acting as a catalyst for AI innovation, developing and launching cutting-edge AI experiences across priority initiatives while partnering closely with product teams across Platforms & Devices (including Android, Pixel, Google Play, and Chrome).

In this role, you will drive programs across key domains including gaming and health. This involves coordinating efforts to build multi-agent frameworks, 2D/3D generative asset pipelines, and engine-level reasoning to democratize interactive play. Additionally, you will guide the development of proactive assistant frameworks and sensor foundation models to power continuous ambient health technologies.

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.

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.