Technical Program Manager III, Data Automation and Tooling, Technical Infrastructure

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 5 years of experience in program management.
  
• Experience in data analytics and scripting in SQL or Python.

Preferred qualifications:

• 5 years of experience in management consulting, capacity planning, or strategic operations planning.
• 5 years of experience managing cross-functional or cross-team projects.
• Experience developing in Jupyter notebooks (Python) or similar, including data management and analysis.
• Experience collaborating with stakeholders across multiple organizations and different levels of responsibilities.
• Experience with enterprise software implementations, including requirements collection and testing.
• Ability to do detailed analysis, strategic thinking and clear communication for diverse audiences.

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, 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 responsible for combining planning and process understanding with technical skill to motivate an approach mitigating key process, system, or data pain points through process improvement and automation. You will partner with Software Engineer (SWEs), and Site Reliability Engineer (SREs) spanning multiple organizations, and gain knowledge spanning every corner of Google's business. You will help build new tools, automation, solvers, policies, and processes. You will test the limits of efficiency and help Google meet its growing Data Center needs at the lowest cost possible.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

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

• Leverage technical skill to deliver increased automation and tooling capability across and beyond Data Center Planning.
• Understand and perform data analysis, including statistical analysis and capacity planning, as well as developing proof-of-concept or prototypes for future automation opportunities.
• Take a systems view, ensure solutions build can integrate into engineering deliverable, and partnering with engineers to transform implementations into robust products and tools.
• Partner extensively with planners across data center Planning to understand their process, workflow, and pain points.