Program Manager II, NPI Deployment Engineering, Technical Infrastructure - Google

Atlanta, GA

About the Job

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
2 years of experience in program or project management.
Experience in supply chain operations and new product introduction deployments.

Preferred qualifications:

Master's degree in a technical field, machine learning, infrastructure, program management, or equivalent practical experience.
2 years of experience managing cross-functional or cross-team projects.
Experience in program deployments or functional leadership roles.
Experience in computer/hardware engineering, machine learning deployments, networking, technology, infrastructure deployments, or data center.
Ability to provide quantitative assessment and analysis across multiple technical disciplines.
Excellent presentation skills, with the ability to provide briefings summarizing technical programs and their business impact to executives.

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.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.

As a Program Manager, you will support the impact and efficiency of new product introductions to the data centers within the Machine Learning (ML) space, and navigate among interdependent and conflicting requirements and objectives across a wide range of cross-functional organizations.

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 $117,000-$172,000 + 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 a diverse 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.
Set the direction for a ML New Product Introduction (NPI) deployment program by outlining goals and objectives, evaluating and driving workstreams, organizing project work within the program, and defining program success criteria.
Set ML NPI Product Deployment and Transition Strategy.
Understand technical dependencies and considerations to drive project delivery (e.g., identify risks, create proposals for mitigation).

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Source : Google