Technical Program Manager III, Inference Capacity Planning and Analytics, Cloud

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 5 years of experience in program management.
  
• Experience with data analysis or scripting.

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
• Experience with optimization and scaling operations with systems, working with software engineering and site reliability engineering teams to build tooling and automation.
• Experience leading the outreach and engagement with a large number of internal product teams.
• Familiarity with characteristic of LLM models.
• Proficiency with Google sheets.

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.

Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

In this role, you will be working with many Cloud product areas covering a large span of generative AI product features and collecting inference requirements. You'll be responsible for organizing, analyzing, and strategizing Google's capacity plans for Gemini for Cloud to ensure efficient use of limited capacity without sacrificing user experiences.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Drive capacity planning strategy and process related to LLM inference focusing on forecasting accuracy and predictable procurement time.
• Identify and mitigate potential risks in bad forecasting, acquisition lead time, and resource availability to engineering priorities, working closely with site reliability engineering and software engineering to manage optimal performance.
• Manage the software development, capacity, and LLM lifecycle, developing end-to-end project plans and ensuring on-time delivery.
• Engage with engineering, product, and technical program management teams to streamline processes, simplify execution, and bring tooling for efficiencies.
• Manage and optimize allocated capacity across a large number of product teams.