Technical Program Manager III, Agentic AI, gTech
Google· enterprise· Internet & Cloud Services· Aug 12, 2026 · 3mo agoPosted 76 days ago
Boulder, CO, USA · Irvine, CA, USA
In office
Full-time
Senior
$145K–$185K est.
5+ years exp
Before you apply
Ghost Signal:
Open 76 days.
Job description
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) in the gUP TSI Program Management Office (PMO), you will focus on complex, cross-functional programs critical to gUP's top priorities. You will take ownership of significant initiatives, spanning areas like the Generative AI-powered Ask Google Help, enhancing agentic UserVoice feedback systems, or building critical tools and platforms for Google's Partners. Your responsibilities involve establishing project plans, tracking progress against milestones, managing risks and dependencies, and facilitating clear communication across global teams.
In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more).
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Drive the day-to-day execution of programs and priorities. Manage the project lifecycle from initial technical scoping and requirements gathering through to launch and post-launch support, ensuring tasks are completed on schedule.
• Partner with Engineering teams to identify, troubleshoot, and help resolve technical blockers within Generative AI workflows. This may involve aspects of prompt engineering, data pipeline issues, and other factors impacting model quality and performance.
• Coordinate closely with Engineering, Product Management, and UX partners to ensure alignment on project goals, milestones, and timelines.
• Identify, track, and help mitigate project-level risks and dependencies. Ensure all necessary safety, legal, privacy, and regulatory checkpoints are addressed, properly documented, and met to facilitate a smooth and compliant launch.
• Utilize data-driven frameworks, project management tools, and OKRs to meticulously track program health and progress.
• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience with Salesforce or other third party platform development and integration.
• Experience with AI product development lifecycle.
Minimum qualifications:
• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience with Salesforce or other third party platform development and integration.
• Experience with AI product development lifecycle.
Preferred qualifications:
• 2 years of experience managing cross-functional or cross-team projects.
• Strong technical aptitude to understand architectural dependencies and discuss technical blockers with engineering teams.
• Ability to build collaborative relationships and influence partners across Engineering, Product, and UX teams.
• Comfort with ambiguity, proactive in identifying risks, managing dependencies, and creating structure.
• Clear and effective communication skills, capable of providing actionable updates to project stakeholders.
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