Senior Technical Program Manager, Program Management Office

Minimum qualifications:

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

Preferred qualifications:

• Master's degree, MBA, or PhD in a quantitative field of study, or equivalent practical experience.
• 10 years of experience managing cross-functional or cross-team projects.
• 8 years of experience in capacity planning or strategic operations planning.
• Ability to integrate business acumen with technical planning, with knowledge of the financial and product metrics that drive ML growth across multiple product areas.
• Excellent written and verbal communication skills, with the ability to deliver messages to stakeholders.

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.

In this role, you will be the key operational bridge between the ML engineering teams within technical infrastructure, product areas, and MLSA leadership. You will write a playbook across process, policy, and software while managing and influencing stakeholders spanning multiple organizations and different levels of responsibility. Your work will impact how Google allocates its AI resources.

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 benefits at Google.

Responsibilities

• Lead the development and publication of views that communicate supply status, risks, and blockers.
• Drive ad-hoc evaluation of demand and supply trade-offs by synthesizing technical inputs with business metrics to prioritize business growth and key strategic initiatives (e.g., Search, Bard, Labs).
• Lead and operationalize strategic governance frameworks, working with engineering, finance, and product leadership.
• Own the definition and rollout of MLSA internal processes.
• Drive initiatives to connect compute costs to product metrics and organizational value for transparent tradeoff discussions.