Technical Program Manager III, AI Transformation, Google Cloud

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Location: Mountain View, CA, USA

Experience Level: Mid

Experience Requirements:

Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum Qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience in software engineering, technical solution development or product development.
• Experience designing, building, and deploying AI models and intelligent agents.

Preferred Qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
• Experience driving internal tool adoption and executing structured change management strategies across large-scale engineering teams.
• Experience partnering with engineering teams to rapidly iterate, prototype, deliver and debug software solutions.
• Domain expertise in agentic development (e.g., enterprise RAG systems, Large Language Model (LLM) guardrails, and context management frameworks).

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.

In this role, you will drive an organizational transformation of program management by modernizing workflows, embedding AI at the core of our operations, and engineering AI-first platforms.

Team's strategic priorities include

• Driving standardization of AI2 Program Data Corpus by building data-capsules for all AI2 programs.
• Building connectivity between other AI investments including TeamLLM (Team data layer) and PVP (Resources data layer).
• Providing a rich operational and presentation layer for users on 007, Jetski, LLM extension etc. surfaces.
• Building autonomous agents, handling end-to-end program management for common use cases.
• Building a program execution data Oracle for AI2, so that execution knowledge is accrued with every project AI2 ships, and becomes discoverable on will.
• Transforming Technical Program Managers (TPMs) and tools to meet demands of the business execution in the agentic era.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163,000 - $236,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Lead use-case analysis and author Product Requirements Documents (PRDs) to translate user needs into technical specifications.
• Design agentic workflows and tool integrations, collaborating with Engineering to deliver high-quality interfaces across surfaces that meet stringent performance standards.
• Establish deterministic evaluation metrics to benchmark and assess tool quality, analyze results, and resolve performance issues. Partner directly with end users to debug quality concerns.
• Coordinate product testing and phased launches for new AI capabilities. Oversee platform access controls and perform adversarial testing to evaluate agent failure modes, such as API payload errors and execution timeouts.
• Develop change management playbooks and direct targeted onboarding initiatives to drive adoption.
• Identify, communicate, and collaborate with relevant stakeholders within one or more teams to drive impact and work toward mutual goals.
• Build, maintain and enhance business, operational, and management dashboards.

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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.

Locations: Mountain View, CA, USA

Experience Requirements: Mid

Experience: Driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.