Program Manager II, NPI Technical Infrastructure Deployment Engineering

Benefits

Parental leave

18 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

18 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$61,842 U.S. median for this role

Projected growth (BLS Employment Projections)

+1.9% - Slower

Matched to SOC 11-1021 - Operations aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Operations From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Program Manager II, NPI Technical Infrastructure Deployment Engineering Mexico 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. The Machine Operations and Deployment Engineering (MODE) team's mission is to deliver ML capacity predictably and at scale. We do this through agile planning, deployment speed and efficiency, and enablement of partner teams. We manage the end-to-end planning and deployment process for ML hardware, both in the New Product Introduction phase and in production in Google's Data Centers. Within MODE, The Technical infrastructure Deployment Engineering ML (TIDE-ML) team is responsible for orchestration of New Product Introduction (NPI) deployments, the required processes, policies, and infrastructure/networking dependencies to introduce our Machine Learning products that form the foundation of Google's AI efforts to the world. Drive a set of cross-functional partners to develop and deliver ML deployment programs from inception to production. Develop deployment schedules, documentation, process maps, presentations and tracking reports to provide detailed current status of each project. Understand technical dependencies and considerations to drive project delivery; identify risks and

Read the full description at www.google.com. FewerJobs shows a preview and links to the original posting.