Program Manager, NPI Technical Infrastructure Deployment Engineering

1 Hour ago • 2 Years + • Product Management

Job Summary

Job Description

This role involves leading the deployment of new Machine Learning (ML) product introductions from concept to production within Google's data centers. As a Program Manager, you'll maximize the efficiency of New Product Introductions (NPIs) in the ML space, navigating complex requirements across various organizations. Responsibilities include developing deployment schedules, documentation, and presentations, managing risks, ensuring stakeholder awareness, streamlining processes, and managing OKRs. You'll work with cross-functional teams, drive strategic decisions, and communicate technical trade-offs to executives and engineers. This position requires a strong technical background and experience in program/project management, NPI, and data center operations. On-site presence at the contract manufacturer in Guadalajara is required three days per week.
Must have:
  • Bachelor's degree in technical field or equivalent experience
  • 2+ years program/project management experience
  • NPI, data center ops, or NPI deployment experience
  • Lead cross-functional teams to deliver ML deployment programs
  • Develop deployment schedules, documentation, and tracking reports
Good to have:
  • Advanced degree in technical field
  • Experience in program deployments or functional leadership roles
  • Experience delivering executive briefings
  • Expertise in data analysis and visualization
  • Expertise in computer/hardware engineering, ML deployments, networking, or data centers
  • Proficiency in developing automated dashboards

Job Details


Minimum qualifications:

  • Bachelor's degree in a technical field or equivalent practical experience.
  • 2 years of experience in program or project management
  • Experience in NPI (new product introduction), data center operations or NPI deployment.

Preferred qualifications:

  • Advanced degree in a technical field related to ML, Technical Infrastructure, Program Management, or equivalent professional experience.
  • Experience in program deployments or functional leadership roles, including experience at the subject matter expert level.
  • Experience delivering executive briefings summarizing technical programs and their business impact.
  • Expertise in data analysis techniques, including the ability to manipulate, visualize, and interpret data to drive informed decision-making.
  • Expertise in computer/hardware engineering, machine learning deployments, networking, technology, large-scale infrastructure deployments, or data centers.
  • Proficiency in developing and utilizing automated dashboards to present data effectively, ensuring easy access to key metrics and program performance.

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.

The Machine Learning Supply Chain Operations team's mission is to deliver ML capacity predictably and at scale. We manage the planning and deployment process for ML hardware, both in the new product introduction phase and in production in Google's data centers. The Technical infrastructure Deployment Engineering ML (TIDE-ML) team is responsible for orchestration of NPI deployments and the required processes, policies, and infrastructure/networking dependencies to introduce our Machine Learning products to the world.

In this role, you will lead deployment of new ML product introductions from concept to production. You will maximize the impact and efficiency of NPIs to data centers within the ML space. You'll navigate among highly interdependent and conflicting requirements and objectives across a wide range of cross-functional organizations, providing the judgment and leadership that results in optimal outcomes for Google and its users. You're comfortable explaining your team's analyses and recommendations to executives and discussing the technical trade-offs in product development with engineers.

This role requires on-site presence at the contract manufacturer in Guadalajara three days per week.

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.

Responsibilities

  • 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 create proposals for mitigation.
  • Ensure leaders and stakeholders are aware of progress/blockers on a continuous basis; drive strategic and tactical decisions throughout all organizations and levels.
  • Engage with cross-functional SMEs and TLs to streamline processes, simplify execution, manage OKRs, release on time, and improve tooling efficiency.

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About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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