Technical Program Manager III, AI Transformation, Google Cloud

Google•Mountain View, CA

1d•$163,000 - $236,000

About The Position

The Technical Program Manager will lead complex, multidisciplinary projects and work with stakeholders to plan requirements, identify risks, manage schedules, and communicate with cross-functional partners. The role is part of Google Cloud’s AI and Infrastructure organization, which builds and operates infrastructure supporting Google services and Cloud platforms, with a focus on sustainable, secure, and resource-efficient infrastructure. This position supports an organizational transformation of program management by modernizing workflows, embedding AI in operations, and building AI-first platforms. The TPM will architect, build, and roll out AI-native program management tools, including agentic workflows and tool integrations. The role also covers defining product requirements, evaluating tool quality, coordinating testing and phased launches, managing platform access controls, conducting adversarial testing, driving adoption through change management and onboarding, and developing operational dashboards.

Requirements

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.

Nice To Haves

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, such as enterprise RAG systems, LLM guardrails, and context management frameworks.

Responsibilities

Lead use-case analysis and author Product Requirements Documents (PRDs) that translate user needs into technical specifications.
Design agentic workflows and tool integrations in collaboration with Engineering, delivering high-quality interfaces across surfaces that meet 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 conduct adversarial testing to evaluate agent failure modes, including API payload errors and execution timeouts.
Develop change management playbooks and lead targeted onboarding initiatives to drive adoption.
Identify, communicate, and collaborate with stakeholders within one or more teams to drive impact and work toward mutual goals.
Build, maintain, and enhance business, operational, and management dashboards.