Program Manager III, Technical Infrastructure, Capacity Planning and Automation

Google; Sunnyvale (CA); On-site; USD 147,000 - 216,000; Full time

Job summary

A leading company is seeking a Program Manager III to lead complex projects in Technical Infrastructure. The role involves capacity planning, automation, and collaboration with cross-functional teams to enhance efficiency. Applicants should have a Bachelor's degree and significant experience in project management and data analytics.

Qualifications

• 5 years of experience in program or project management.
• Experience with capacity planning or forecasting.

Responsibilities

• Lead complex, multi-disciplinary projects from start to finish.
• Drive requirements collection, documentation, and testing.
• Partner with Technical/Program Managers and Software Engineers.

Skills

Project Management

Data Analytics

Python

Education

Bachelor's degree

Job description

Program Manager III, Technical Infrastructure, Capacity Planning and Automation

corporate_fare Google place Sunnyvale, CA, USA

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• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience in program or project management.
• Experience with capacity planning or forecasting.
• Experience in data analytics and scripting in Python.

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
  
• 5 years of work experience in management consulting, capacity planning, or strategic operations planning.
• Experience collaborating and influencing stakeholders spanning across multiple organizations and different levels of responsibilities.
• Experience with data management and analysis.
• Ability to be comfortable shifting between direct detailed analysis and big picture thinking and customizing communication based on the audience.

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 Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.

In this role, you will be responsible for combining, planning, and understanding process to drive and change Machine Learning (ML) planning through process improvement and automation. You will drive requirements collection, documentation, and testing to ensure tools and systems are fit-for-purpose and deliver on their objectives. You will partner with Technical/Program Managers, Software Engineers, and Site Reliability Engineers (SREs) spanning multiple organizations, and gain knowledge. You will help in building new tools, automation, solvers, policies, and processes and will test the limits of efficiency to help Google meet its growing needs.

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 $147,000-$216,000 + 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

• Partner with planners across DC Planning to understand their process, workflow, and pain points.
• Leverage technical knowledge to deliver increased automation and tooling capability.
• Understand and perform data analysis, including lightweight statistical analysis and capacity planning, as well as developing proof-of-concept or prototypes for future automation opportunities.
• Ensure solutions that you build can integrate into broader engineering deliverables, and partner with engineering to transform lightweight implementations into products and tools.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.