Leadership Technical Program Manager II, Cohesive Agentic Experiences
Google· enterprise· Internet & Cloud Services· Jul 27, 2026 · 3mo agoPosted 92 days ago
Sunnyvale, CA, USA
In office
Full-time
Staff
$160K–$210K est.
8+ years exp
Before you apply
Ghost Signal:
Open since July 27, 2026 — 92 days, and still accepting applications.
Job description
Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.
Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.
Our mission is to evolve Google's internal tools from fragmented applications into a proactive, context-aware agentic ecosystem. We are driving the Cohesive Agentic Experiences (CAE) program and Gemini Enterprise for Google program to reduce Googler manual effort and reclaim productivity through AI-powered solutions. In this leadership role, you will be at the absolute heartbeat of Google’s AI transformation. You will be the PMO lead driving the Cohesive Agentic Experiences program, architecting the evolution of Google's internal tools from fragmented applications into a proactive, context-aware agentic ecosystem.
In this role, you will manage a team of Technical Program Managers, own the end-to-end strategic execution of the entire CAE portfolio, overseeing mission-critical workstreams dedicated to reducing manual effort and reclaiming productivity for Googlers everywhere. This role requires masterfully navigating the technical complexities of Enterprise Memory and AI Foundations, shaping the next generation of technical leaders through mentorship of a high-performing team of TPMs.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
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 .
• Drive the CAE program roadmap, focusing on Personal, Enterprise, and Business Domain Contexts to power end-to-end AI solutions.
• Lead the rollout of the Project Insights Agent, utilizing personalized widgets and the Enterprise Knowledge Graph to shift users from hunting for data to taking action.
• Manage and coach a team of TPMs, ensuring the PMO portfolio aligns with high-impact priorities.
• Bridge the leadership gap with US engineering leads, UX, and PM partners to drive alignment on the agentic ecosystem.
• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• 5 years of experience in a leadership role with direct reports.
• Experience managing cross-functional technical programs in AI or Cloud infrastructure.
Minimum qualifications:
• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• 5 years of experience in a leadership role with direct reports.
• Experience managing cross-functional technical programs in AI or Cloud infrastructure.
Preferred qualifications:
• Familiarity with Enterprise Knowledge Graphs, and semantic search technologies.
• Deep domain expertise in AI Agent infrastructure, Orchestration services, and RAG data access.
• Proven ability to influence executive leadership and navigate complex Product Area-level alignment.
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Keywords to mirror
ai
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