Director, Product Data Science - Fleet Optimization and Orchestration
Company websitewaymo.com (Waymo, opens in new tab)
Base salary $272K to $336K
Employer-published annual base salary, USD. Advertised base range in Mountain View, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationMountain View, CA +1 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (30 min ago) · observed since
All places named
- Mountain View, CA
- San Francisco, CA
About this job
Waymo is an autonomous driving technology company with the mission to be the world's 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’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo’s Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.
This role follows a hybrid work schedule and you will report to a Director, Product Data Science.
You will:
- Set the vision for a team of Product Data Scientists
- Provide leadership to the team to execute on the vision as the company scales its commercial operations, and own the output across optimizations, statistical modelling, data analysis and ML algorithms
- Analyze complex operational and commercial data to enhance performance as Waymo scales our AV business
- Function as a thought partner with senior management and stakeholders, and align stakeholders around the vision to gain cross-functional support
- Manage prioritization of team resources to partner with cross functional teams such as Marketing, Engineering, Product, Strategy, Finance
You have:
- 15+ years of experience in a related technical field or equivalent practical experience
- 8+ years of team management experience
- 5+ years of experience with optimization and building OR models in production
- Statistical knowledge/data intuition
- Ability to structure and solve ambiguous problems
- Coding skills and experience: Python,SQL and Data science related coding experience
We prefer:
- Prior experience building and managing OR/Optimization scientists
- Marketplace business experience
- Experience interacting with Product Management teams
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
$272,000—$336,000 USD
Source: Waymo on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($272,000) is above 88% of the 1,730 Data & ML roles in California listed on this site; 8 others list the same floor. Their median floor is $184,000; the middle half runs from $154,150 to $224,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingDirector, Product Data Science - Fleet Optimization and Orchestration$272K to $336K
Senior Staff Regulatory and Compliance Systems Engineer$272K to $336K
Sr. Staff Systems Engineer, Perception-Planner Risk$272K to $336K
Senior Staff Technical Program Manager, New Product Programs$272K to $336K
Systems Engineering Lead, New Product Initiatives$272K to $336K
Senior Staff Tech Lead Manager, Simulator Efficiency$281K to $356K
Tech Lead, Self Driving Eval Infrastructure$281K to $356K
Chart as a table
| Role | Published base |
|---|---|
| Director, Product Data Science - Fleet Optimization and Orchestration (this listing) | $272K - $336K |
| Senior Staff Regulatory and Compliance Systems Engineer | $272K - $336K |
| Sr. Staff Systems Engineer, Perception-Planner Risk | $272K - $336K |
| Senior Staff Technical Program Manager, New Product Programs | $272K - $336K |
| Systems Engineering Lead, New Product Initiatives | $272K - $336K |
| Senior Staff Tech Lead Manager, Simulator Efficiency | $281K - $356K |
| Tech Lead, Self Driving Eval Infrastructure | $281K - $356K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-05-29
Where this pay comes from
Location as the employer wrote it: Mountain View, CA, US; San Francisco, CA, US
$272,000—$336,000 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
