Product Manager, Fleet Optimization at WAYMO LLC

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Jan, 26

Salary

302000.0

Posted On

11 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Optimization Systems, Operations Research, Machine Learning, Analytical Skills, Stakeholder Management, Structured Thinking, Communication Skills

Industry

technology;Information and Internet

Description

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 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. In this role, you will report to a Group Product Manager You will: Define and execute the product roadmap for fleet optimization initiatives to optimize utilization of electric charging infrastructure while maximizing supply of vehicles available to serve rides. Partner with data science and engineering to develop Operations Research and/or ML models to maximize depot throughput Collaborate with operations teams so they can effectively leverage fleet optimization models to optimize business outcomes. Partner with other Product Managers, UX Designers, UX Researchers to develop the UX and API interface to fleet optimization models. You have: 7+ years of product management experience with a focus on building optimization systems A BS degree in in Computer Science, Mathematics, Statistics, Operations Research or a related field Deep technical acumen of Operations Research and ML modeling techniques. Strong analytical skills with the ability to translate complex data into actionable insights. Track record of excellent stakeholder management to bring disparate parts of an organization together to a unified vision and rapid execution Structured thinking with clear written and verbal communication skills We prefer: A Master’s degree in Computer Science, Mathematics, Statistics, Operations Research or a related field Prior product experience in autonomous vehicles Prior experience in fleet or routing optimization systems or electric vehicle fleet management Travel requirements: Ability to travel domestically as needed (1-3 times per quarter) Ability to travel internationally approximately once per year 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 $238,000—$302,000 USD

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Responsibilities

Define and execute the product roadmap for fleet optimization initiatives. Collaborate with cross-functional teams to optimize vehicle utilization and charging infrastructure.