Technical Program Manager III, AI Conversational Support, gTech

GoogleBoulder, CO
4h$156,000 - $229,000

About The Position

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 projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs. 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 diverse 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). The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/].

Requirements

  • Bachelor's degree in a technical field or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience with Large Language Models (LLM), NLP, or Generative AI.
  • Experience in software program management or engineering management.

Nice To Haves

  • 8 years of experience in program management of emerging technologies, or a related technical field.
  • Experience delivering cross-functional technical projects and programs with multiple stakeholders in a fluid environment.
  • Experience working with globally distributed teams across multiple time zones.
  • Ability to influence without authority, build cross-functional partnerships, and drive consensus.
  • Excellent communication, people management, and presentation skills, with the ability to articulate topics to both technical and non-technical audiences.
  • Excellent technical acumen and leadership across organizational and team boundaries.

Responsibilities

  • Drive and own the delivery of high-impact programs, from technical scoping and design through global launch, landing, and maintenance.
  • Apply technical understanding to identify and resolve system-level blockers, guiding technical decisions within generative AI architecture, prompt engineering, and data pipelines.
  • Influence and align cross-functional teams (e.g., engineering, product, UX) and stakeholders on program goals, technical approaches, and priorities, driving consensus and unblocking progress.
  • Contribute to product and program strategy by identifying opportunities, defining clear project goals, and ensuring alignment with broader gUP objectives.
  • Design, implement, and drive adoption of scalable frameworks, best practices, and data-driven OKRs to improve program execution, monitor health, and enhance communication with leadership.
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