Technical Program Manager III, AI Agents, Cloud AI Systems

4 days ago

Mountain View, California, United States Google Full time $156,000 - $229,000
Minimum qualifications:
  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience with Large Language Model (LLM) or AI agents.
Preferred qualifications:
  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience in Machine Learning (ML) life-cycle management.
  • Ability to communicate across a broad variety of functions, stakeholders, and levels.
About the job:

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.

As a Technical Program Manager (TPM), you will play a key role in building Agent Framework for Google and third-party. You will partner with Program Manager (PMs), Engineers, and Leadership to define roadmaps, prioritize features, and ensure timely releases. You will grow in a changing environment where your technical expertise and program management skills will directly impact research to production velocity.

The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

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.

Responsibilities:
  • Work closely with engineers, and other stakeholders to define and prioritize features and capabilities across various workstreams. Identify and solve cross-functional and inter-team issues quickly.
  • Manage workstreams including requirements gathering and risk assessment.
  • Manage multiple interdependent projects of moderate to high complexity and scope.
  • Develop recommendations that translate into a course of action.
  • Design and implement build and operational processes that help the teams/organization scale.

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