Senior Staff Technical Program Manager, AI Innovation and 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.

The Software Engineer Agents team operates within the AI Innovation and Research (AIR) organization's mission is to create intelligent agents that self-sustain build, maintain, and secure applications, make engineers 100x more productive, organizations 10x more effective, and democratize application development for all users. We are pushing the boundaries of automation by combining foundational models with deep context and multi-agent systems.

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.

The US base salary range for this full-time position is $240,000-$334,000 + 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.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Lead the strategy, planning, and execution for the software engineer agents pillar. Direct the operational cadence for high-impact initiatives including project spark (e.g., democratized app creation) and virtual software engineers for self-sustaining workflows.
• Drive the cross-functional delivery of high-profile initiatives enabling non-technical users to generate, iterate, and share apps and dynamic web experiences using natural language.
• Operationalize self-sustaining workforce pilots across key Platforms and Devices (P&D) partner teams (Android, Fuchsia, Chrome) to manage the integrations and issue trackers, revolutionizing engineering velocity.
• Partner with trust and safety, legal, and google play to define the distribution models and defense-in-depth safety strategies for AI-generated apps, ensuring strict compliance with Android ecosystem standards.
• Bridge foundational models with product applications. Navigate complex engineering challenges integrating LLM-based coding agents with existing developer infrastructure (e.g., cloud run sandboxing, omnilab, play developer APIs).

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 10 years of experience in program management.

Preferred qualifications:

• 10 years of experience managing complex cross-functional or cross-team projects.
• Experience as a technical program manager delivering complex, multi-year AI/ML systems, Large Language Models (LLMs), Generative AI, or self-sustaining agent frameworks at a executive staff or director level.
• Experience managing large-scale cloud or ML compute infrastructure (e.g., TPUs, Colossus) and complex resource allocation/capacity planning strategies.
• Familiarity with trust and safety, policy compliance, and platform distribution policies for consumer-facing AI and mobile products.
• Knowledge of Software Development Lifecycle (SDLC), developer tools (IDEs, Buganizer, Gerrit), mobile application architectures (Android), and multi-agent systems (RAG, Model Context Protocol (MCP)).