Senior Product Manager, Waymo
ML Infrastructure
$238-302k
+ Discretionary annual bonus program, and equity incentive plan
Autonomous driving technology
Be an early applicant
Autonomous driving technology
1001+ employees
Be an early applicant
$238-302k
+ Discretionary annual bonus program, and equity incentive plan
1001+ employees
Company mission
To make it simpler and safer for people to move things and themselves around.
Role
Who you are
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
- 10+ years of combined experience in product management, technical program management, software engineering, or machine learning engineering
- 5+ years of direct experience building, launching, and iterating on technical platforms, cloud infrastructure, developer tools, or large-scale machine learning systems
- Demonstrated experience leading complex, technical projects with cross-functional teams from initial concept through successful delivery and adoption
- A strong understanding of the machine learning development lifecycle (data preparation, training, evaluation, deployment, monitoring)
- Familiarity with common ML frameworks (e.g., TensorFlow, PyTorch, JAX) and foundational infrastructure concepts including compute, storage, networking, and distributed systems
Desirable
- Experience building internal developer platforms, tools, or infrastructure within a large, complex engineering organization
- Hands-on experience with technologies and challenges related to large-scale distributed training, MLOps implementation, ML model optimization, and leveraging hardware accelerators (GPUs, TPUs) effectively
- Proven ability to influence and align senior leadership (Director, VP level) and drive strategic initiatives in a dynamic, fast-paced, and technically demanding environment
What the job involves
- Waymo’s Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market.
- Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo’s technology and the products it enables forward. We do this by understanding the customer, the business, and the technology.
- We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future
- Define and maintain the multi-year product vision, strategy, and roadmap for Waymo's internal ML Infrastructure platform, encompassing data management, large-scale distributed training, rigorous evaluation, efficient deployment, and advanced MLOps capabilities
- Deeply understand the needs and workflows of Waymo's internal ML practitioners (engineers, researchers) through continuous engagement and collaboration, translating these needs into actionable platform improvements
- Partner closely with Engineering, Research, and other stakeholders to ensure alignment on platform priorities, define clear requirements, and drive the successful development and adoption of new capabilities
- Oversee the end-to-end product lifecycle, prioritizing initiatives that maximize ML developer velocity, model performance, system scalability, and efficient resource utilization
- Actively participate in technical discussions, offering guidance on ML frameworks, distributed systems design, hardware acceleration strategies, and MLOps best practices
Our take
Waymo is an autonomous driving technology company that began as the Google self-driving car project in 2009. After initial development, it secured permits to deploy autonomous ride-hailing services in cities including Phoenix and San Francisco, but has recently hit a major bump in the road with safety concerns that resulted in a recall of over 400 self-driving cars.
With the autonomous driving industry already besieged by setbacks and public distrust, this development does Waymo no favours. That said, as an industry leader there remains the possibility it will see out the storm, but massive attention will need to be given to rebuilding trust with consumers if this is to be the case.
Steph
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Aug 2024
$5.6bn
SERIES C
Jun 2021
$2.5bn
GROWTH EQUITY VC
Total funding: $11.1bn
Company HQ
Mountain View, CA
Leadership
Dmitri Dolgov
(Co-CEO, not founder)Former CTO of the company. After a PhD at the University of Michigan, they worked as a Stanford Postdoctoral Researcher before moving to the Toyota Research Institute. They also spent 8 years at Google as a Software Engineer.
Tekedra N. Mawakana
(Co-CEO, not founder)Has worked at Waymo since 2017, as Global Head of Policy then CXO then COO before becoming Co-CEO. They are on the Board of Advisors at Operator Collective, Board of Directors at Intuit, and an Advisor for Boom Supersonic.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 49 more jobs at Waymo