Technical Program Manager, AI Workflow Adoption, Search

Google•Mountain View, CA

2d•$138,000 - $198,000

About The Position

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. As a Technical Program Manager (TPM), you are the catalyst for operationalizing AI tech programs and are expected to independently manage the full lifecycle of cross-functional programs. Your goal is to identify manual bottlenecks in the program management lifecycle and replace them with agentic, AI-driven workflows, effectively reducing manual reporting toil by 80%. You will work to transition the Search Technical Program Manager function from manual data orchestration to strategic AI stewardship. You will engineer outcomes by automating administrative toil, allowing the organization to focus on high-judgment decisions and product impact. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Requirements

Bachelor's degree in a technical field, or equivalent practical experience.
2 years of experience in program management.
Experience using automation or custom scripting to eliminate project management toil.
Experience in the AI/ML model development lifecycle and evaluation methodologies.

Nice To Haves

2 years of experience managing cross-functional or cross-team projects.
Familiarity with risk modeling or AI agents to manage program dependencies.
Demonstrated success driving alignment across complex, multi-pillar organizations.

Responsibilities

Partner with engineering to identify, build, and scale agentic AI workflows that automate status tracking, data gathering, and reporting across the organization.
Integrate AI into technical reviews to accelerate approvals, and transition infrastructure resource allocation from manual tracking to automated, AI-driven systems.
Drive cross-functional execution (Engineers, Program Manager, UX, Operations) of critical initiatives, standardizing streamlined processes to boost developer productivity and ensure on-time releases.
Utilize predictive analytics, technical judgment, and independent dependency management to identify and resolve systemic risks before they impact organizational Objectives and Key Results (OKRs).
Validate AI-generated insights for executive stakeholders, execute change management plans to minimize workflow disruption, and mentor the community on AI adoption.