Technical Program Manager, Cloud ML and Compute Services

Minimum qualifications:

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

Preferred qualifications:

• 10 years of experience managing cross-functional or cross-team projects.
• Experience managing projects within software engineering teams or product management, particularly innovative/novel engineering programs.
• Experience working with software and hardware teams in high performance compute or ML accelerators.
• Experience with ML techniques and frameworks.

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 AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

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 benefits at Google.

Responsibilities

• Lead innovation and execution of mission-critical projects by collaborating with product teams to understand customer requirements and relay the information to engineering teams for managing, designing, planning, developing and launching technical projects or programs.
• Collaborate with engineering teams to define, design and implement solutions that enhance Artificial Intelligence/Machine Learning (AI/ML) workload performance.
• Identify customer AI/ML workload performance needs and optimize their workloads for Cloud Graphics Processing Unit (GPUs) and Tensor Processing Unit (TPUs).
• Serve as the customer interface for the team by engaging with client teams, reviewing new product requirements and tracking features and dependencies to facilitate the adoption of new technologies and deployment systems.
• Develop infrastructure integration strategies and manage new client onboarding.