Senior Technical Program Manager, GenAI Transformation, Google Cloud Business Platform

About this role

Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience.

8 years of experience in program management.

Experience with artificial intelligence/machine learning projects, tools, or infrastructure.

Preferred qualifications: 8 years of experience managing cross-functional or cross-team projects.

Ability to partner credibly with staff/principal engineers to evaluate system design trade-offs and drive platform-convergence decisions.

Demonstrated ability as a savvy user and advocate of AI tools to solve complex operational problems, automate program workflows, and measurably improve organizational velocity.

Exceptional communication skills, with a demonstrated ability to bring structural clarity to ambiguous, rapidly evolving problem spaces and influence executive leadership without direct authority.

About the job: As a Technical Program Manager leading GenAI Transformation Programs within GCBP Program Management and Product Operations (PMPO), you will be a central catalyst multiplier driving the strategy, technical execution, and operational governance of GCBP's flagship Generative AI and Agentic AI portfolio. Operating in a distributed, cross-functional model across GCBP's horizontal (Gemini Enterprise for Googlers) and vertical domains, you will bridge core platform engineering and applied product teams. You will establish cohesive program architecture, drive technical alignment on foundational capabilities, and lead end-to-end launch readiness from 0-to-1 prototypes to enterprise-wide production adoption. Our primary objective at Google Cloud Business Platform (GCBP) is to enable 10X scale for the Google Cloud business. We are a product and engineering organization responsible for the applications, data platforms, and AI capabilities that drive Cloud Marketing, Sales, Partner, Support, Billing, Finance, and other critical functions that run the Google Cloud business. We deliver end-to-end solutions leveraged by Cloud Customers, Partners, and Googlers alike that unlock revenue growth, scale enterprise systems, and increase operational efficiency around the world. The GCBP GenAI Transformation Portfolio is guiding Google Cloud's internal and customer-facing agentic evolution unifying enterprise data, access, and GenAI foundation layers (including Gemini Enterprise for Googlers/Sobi, Enterprise General Intelligence, and Cloud Data and AI platforms) to transform fragmented workflows into secure, intelligent, and proactive multi-agent experiences across Sales, Customer Support, Partner, Commerce/Transact, and Finance. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities:

Define program scope, multi-quarter technical roadmaps, objectives, and deliverables for GCBP's GenAI transformation programs in partnership with engineering, product management, and UX leadership. Build and maintain integrated execution plans across horizontal AI platforms and vertical domain workstreams.

Orchestrate the convergence, migration, and rollout of internal and customer-facing agentic experiences (such as Gemini Enterprise for Googlers/Sobi), eliminating duplicate infrastructure and establishing unified user journeys across GCBP personas.

Partner with engineering and product leads to establish standardized AI evaluation frameworks (golden datasets, human-in-the-loop [HITL] feedback loops, latency/accuracy benchmarks, and production reliability guardrails) and enforce rigorous SDLC.

Drive program's operation rhythm including OKR lifecycle management, weekly initiative reviews, executive steering committees, and unified tracking. Clearly communicate program health, technical trade-offs, risks, and ROI/adoption metrics to Director and VP-level stakeholders.