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Technical Program Manager, Machine Learning

Mountain View, California, United States Full-Time Product 3056

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Technical Program Manager, Machine Learning

  • 3056
  • On Site
  • Mountain View, California, United States
  • Product
  • Full-Time
  • Mid Career

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

Waymo’s Technical Program Managers are accountable for Waymo’s roadmap execution by providing thoughtful cross-functional planning, clarity, and proactive risk management. In the face of complex technical and operational challenges with no established playbooks to follow, we act with thoughtful urgency, driving conversations, discussions, and outcomes. Our team partners closely with every function of Waymo to structure, own and drive work towards real-world deployments of the Waymo Driver across platforms and geographies.

In this hybrid role, you will report to a Machine Learning Program Manager.

 

You will:

  • Collaborate across cross functional groups and  align execution to meet product goals
  • Partner with technical leads, product managers and program managers to lead execution on broad efforts
  • Lead proactive risk management efforts and contingency plans across the program landscape to deliver on the program
  • Set up and sustain mechanisms that promote organizational efficiencies, and improve speed of decision-making and execution
  • Communicate across all levels of the organization to ensure all partners are aware of program decisions, status, and changes

 

You have:

  • 8+ years of  relevant experience driving outcomes for large projects.
  • Bachelor’s degree in a technical discipline, and good understanding of Machine Learning model life cycle or equivalent years of experience.
  • The ability to engage with engineering leads and contribute to technical discussions by understanding the tradeoffs and impacts of various technical decisions to the program scope, risks and timeline
  • Fluent in structuring project plans, identifying technical dependencies, and driving execution across teams, all the while implementing process improvements. Having hands-on experience using Agile project management tools
  • A desire to work across the organization with everyone, where all agree what we accomplish is more important than who gets the credit
  • Hands-on experience identifying technical problems, and driving complete cycle of problem discovery to solution and execution.
  • Represent your project from business, product, or technical perspectives at varying levels.

 

We prefer:

  • Master’s degree in a technical field, ideally related to AI/ML
  • You contributed to technical decision-making by analyzing trade-offs, asking the rights questions and offering alternate solutions

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. 

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. 

Salary Range
$183,000—$232,000 USD

We appreciate your interest in Waymo. Waymo is an equal employment opportunity employer, committed to maintaining a supportive and inclusive workplace for all employees. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to ensuring equal opportunity for qualified individuals with disabilities. If you are an individual with a disability and require an accommodation to participate in the application or interview process, please let the recruiting team know or email waymo-candidatesupport@google.com. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Some of our Benefits

Health and wellness

Our people are at the heart of everything we do. At Waymo, you can enjoy top-notch medical, dental and vision insurance, mental wellness support, gym membership, and special wellness programs.

Financial wellness

Your financial peace of mind is important to us. At Waymo, we offer competitive compensation, bonus opportunities, equity, employees provident fund, and lots of other perks and employee discounts.

Flexibility and time off

Take the time you need to relax and recharge. Enjoy the flexibility to work from another location for four weeks per year. We support an on-site or hybrid work model and offer remote working opportunities, paid time off, bereavement, sick, and parental leave. 

Supporting families

When it comes to growing your family or caring for your loved ones, you have our full support. Enhanced leave options include 26 weeks of paid leave for birthing parents and 18 weeks of paid leave for non-birthing parents.

Community and personal development

At Waymo, you'll find a range of opportunities to grow, connect, and give back. We offer education reimbursement, personal and professional development, mentorship, and other ways to connect through Employee Resource Groups (ERGs), other internal groups, and even time off to volunteer.

Cool perks

Access to Google offices, cafes, wellness centers, massages, and so much more. To support your wellbeing at home, you can enjoy at-home fitness and cooking classes, and more.

Ready to Apply?

 

Demographic Information (completion voluntary)

Waymo would greatly appreciate it if you could provide us with your identity information. Your individual identity data will not be accessible to recruiters, hiring managers or others who interview you. Instead, it is used in aggregate to track and report Equity, Inclusion, and Diversity (EID) progress. Answering these questions is entirely voluntary, and a decision not to answer will not be held against you. 

If you decide to provide demographic information, it will be recorded and maintained in a confidential file. Whatever your decision about providing this data, it will not be considered in the hiring process or as a basis for employment decisions. If you are offered and accept employment with Waymo, the information collected during the application and recruitment process will become part of your confidential employment record.

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