Technical Program Manager, Cross Cutting AI/ML

1 Month ago • 10-10 Years • Artificial Intelligence • $227,000 PA - $320,000 PA

Job Summary

Job Description

As a Technical Program Manager at Google, you'll lead complex, multi-disciplinary AI/ML projects. You'll collaborate with stakeholders to plan requirements, manage schedules, and communicate effectively across functions. Responsibilities include setting program goals, driving implementation with Engineering and Product Management, managing dependencies, and ensuring executive-level visibility on project status. You'll streamline processes, improve execution, and work with other TPMs to enhance tooling efficiencies. The role requires strong technical expertise and the ability to interact with both technical and non-technical audiences.
Must have:
  • 10+ years program management experience
  • Experience with AI/ML technologies
  • Cross-functional project management
  • Excellent communication skills
  • Bachelor's degree in technical field
Good to have:
  • Experience managing complex cross-team projects
  • Experience with Google Cloud platform
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor's degree in a a technical field, or equivalent practical experience.
  • 10 years of experience in program management.

Preferred qualifications:

  • 10 years of experience managing complex cross-functional or cross-team projects.
  • 10 years of experience with AI/ML technologies or infrastructure.
  • Ability to interact with technical and non-technical audiences, spanning all functions and organizational levels.

About the job

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.

The ML, Systems, & 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 $227,000-$320,000 + 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 .

Responsibilities

  • Set the goal and direction for a program by outlining goals and objectives.
  • Drive the planning and implementation of the programs and features, working closely with Engineering, Product Management, Engineering Productivity. Establish goals, schedule and milestones. Manage dependencies and anticipate/resolve execution issues.
  • Be the trusted owner of the status of the projects/programs. Drive visibility on progress, dependencies, risks, issues to the executives and other stakeholders.
  • Engage with the Product Management and Engineering leaders, and other Technical Program Managers (TPMs) to streamline processes, simplify execution, and bring tooling efficiencies, when needed.
  • Help the team improve and accelerate their execution.

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