Senior Staff Technical Program Manager, AI Innovation and Research

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Analysis Skills, Android, Android Applications, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Automation, Cadence, Capacity Management, Capacity Strategy, Cloud Computing, Communication Skills, Construction, Consulting, Cross-Functional, Customer Relations, Defense in Depth, Ecosystems, English Language, Equal Employment Opportunity (EEO), Financial Services, Functional Programming Languages, Genetics, Gerrit, Hyperion Pillar, IDE (Integrated Development Environment), Input/Output, Internet Security, Internet of Things, Leadership, Legal, MCP - Microsoft Certified Professional, Maintain Compliance, Mobile Applications, Mobile Devices, Modeling Languages, Multiplatform/Cross-Platform, Network Operations Center, Operations Security (OPSEC), Product Development, Product Engineering, Programming Tools, Project Management Software, Project Schedule, Project/Program Management, Recruiting/Staffing Agency, Regulatory Requirements, Resource Management, Retail, Risk Analysis, Risk Management, Safety Compliance, Sales Management, Schedule Development, Software Administration, Software Agents, Software Development, Software Development Lifecycle (SDLC), Software Engineering, Stock Purchase Plans, Strategic Planning, Technical Delivery, Technical Leadership, Virtualization Software
LOCATION
Mountain View, CA
POSTED
3 days ago

Senior Staff Technical Program Manager, AI Innovation and Research - Google Careers

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Senior Staff Technical Program Manager, AI Innovation and Research

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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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)).

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.

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.

As a Technical Program Manager for the Software Engineer Agents team, you will drive the strategic goal and execution of Google"s most motivated agentic AI initiatives aimed at transforming the software development lifecycle. You will sit at the intersection of AI and product, leading complex, cross-functional programs such as democratizing app creation and creating a virtual software engineering workforce. This high-impact role requires exceptional cross-functional leadership to navigate extreme ambiguity from 0-to-1 product phases. You will partner closely with DeepMind, Android, Google Play, Core Developer, and Trust and Safety to bring self-sustain agents to life for major launches at Google I/O and made by Google.

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: $240000 - $334000 (USD) + 25% bonus target + bonus + equity + 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).

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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