Job 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. This role follows a hybrid work schedule and reports to the Director of Product Management. You will: Define a compelling vision for Waymo's DevAI platform, shaping how autonomous driving software is built by completely transforming internal workflows into AI-first paradigms. Exercise a highly focused and disciplined mindset to ruthlessly prioritize investments. You will guide a high-impact core team in a rapidly changing technological landscape. Act as the primary thought leader and educator on AI-Powered Devtools for all of Waymo's engineers—cutting through the hype, organizing fragmented information (newsletters, new tools), and keeping teams focused on actionable insights. Own the developer productivity survey and engineering education programs, ensuring they are tightly aligned with and accelerating our DevAI strategy. Resolve technical and strategic ambiguities, making highly complex product decisions that carry long-term strategic impact for all Waymo engineers. Set up the organization to grow by simplifying interfaces and processes for AI-Powered Devtools adoption from inception to deployment. Establish robust, data-driven frameworks (e.g., DX Framework, SPACE metrics) to measure the true ROI of DevAI integration. Partner with engineering and security teams to design and implement secure integration layers, ensuring AI tools safely access proprietary data without exposing core assets. You have: Deep engineering experience coupled with hands-on, practitioner-level expertise using modern coding agents and agentic development framework. Extensive experience as a Product Manager, with a track record of building and launching complex developer tools, platforms, or AI-integrated products. Demonstrated AI fluency (Generative AI, LLMs) and a deep understanding of how they map to and transform real-world developer workflows. An entrepreneurial mindset with the ability to navigate high ambiguity and pioneer new paradigms. Strong cross-org leadership skills, uniquely capable of identifying collisions, mediating solutions, and inspiring both engineering and research teams. We prefer: Experience driving organizational mindset shifts and large-scale, high-visibility technical initiatives that impact entire engineering organizations. Prior hands-on experience building, implementing, or managing tools utilizing the Model Context Protocol (MCP) or similar agent-to-application integration frameworks. 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 $241,000 — $297,000 USD

Requirements

Must-haves

This role follows a hybrid work schedule and reports to the Director of Product Management.
Define a compelling vision for Waymo's DevAI platform, shaping how autonomous driving software is built by completely transforming internal workflows into AI-first paradigms.
Exercise a highly focused and disciplined mindset to ruthlessly prioritize investments. You will guide a high-impact core team in a rapidly changing technological landscape.
Own the developer productivity survey and engineering education programs, ensuring they are tightly aligned with and accelerating our DevAI strategy.
Resolve technical and strategic ambiguities, making highly complex product decisions that carry long-term strategic impact for all Waymo engineers.
Set up the organization to grow by simplifying interfaces and processes for AI-Powered Devtools adoption from inception to deployment.
Establish robust, data-driven frameworks (e.g., DX Framework, SPACE metrics) to measure the true ROI of DevAI integration.
Partner with engineering and security teams to design and implement secure integration layers, ensuring AI tools safely access proprietary data without exposing core assets.
Deep engineering experience coupled with hands-on, practitioner-level expertise using modern coding agents and agentic development framework.
Extensive experience as a Product Manager, with a track record of building and launching complex developer tools, platforms, or AI-integrated products.
Demonstrated AI fluency (Generative AI, LLMs) and a deep understanding of how they map to and transform real-world developer workflows.
An entrepreneurial mindset with the ability to navigate high ambiguity and pioneer new paradigms.
Strong cross-org leadership skills, uniquely capable of identifying collisions, mediating solutions, and inspiring both engineering and research teams.
Experience driving organizational mindset shifts and large-scale, high-visibility technical initiatives that impact entire engineering organizations.
Prior hands-on experience building, implementing, or managing tools utilizing the Model Context Protocol (MCP) or similar agent-to-application integration frameworks.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision