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Senior/Staff Technical Product Manager, Agentic AI Transformation
Posted November 12, 2026
Job Description
- Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. We're looking for a Technical Product Manager to lead SDMA's shift to an AI-first way of working. You will own the vision and roadmap for agentic AI solutions that accelerate our safety clearance process and significantly reduce manual work, freeing our engineers to focus on technical review and decision making that matter most. Your work will directly help Zoox scale faster and reach its commercialization goals. Your primary customers are SDMA's systems and safety engineers and technical program managers. You'll partner closely with Zoox's AI team, along with crossing functional partners including Software, Data Science, Hardware, Operations, Product, etc. This is a high-visibility, high-impact role for someone who loves turning ambiguity into products people rely on.
- In this role, you will: Set the Vision: Define a compelling vision for how SDMA's safety case and clearance process will be transformed, reimagining internal workflows as AI-first paradigms rather than simply automating today's steps. Turn Ambiguity into Action: Bring structure to ambiguous problems and fragmented information, resolve open questions and differences, and keep teams focused on actionable results. Build and Deliver the Roadmap: Translate the vision into a prioritized roadmap, break large problems into incremental releases that deliver early value, and drive them through implementation and adoption. Prioritize investment where it most accelerates milestones. Enable the AI Team: Partner with Zoox's AI team as the voice of the SDMA customer. Define clear requirements, acceptance criteria, and quality gates so they can build the right technical solutions. Earn Trust in AI Outputs: Ensure AI-generated analyses meet the rigor safety decisions demand, with traceability, validation, and the right level of human oversight built in. Align Across Zoox: Communicate the roadmap, trade-offs, and progress clearly to stakeholders and leadership. Resolve disagreements and build consensus across organizations. Measure What Matters: Define and track metrics such as adoption, output accuracy, clearance cycle time, and engineering hours saved, and use them to demonstrate impact and steer strategy.
- Qualifications Technical Foundation: B.S. or higher in Computer Science, Engineering, or a related technical field, with hands-on engineering experience. Comfortable going deep on system architecture and data with senior engineers. Proven Product Leadership: 8+ years of hands-on product management experience, with a track record of building and launching complex software products, including AI-integrated products. AI Fluency: Practical understanding of LLMs and agentic systems and how they map to real-world engineering workflows. Entrepreneurial Mindset: Thrives in ambiguity, moves from zero to one, and is energized by pioneering new paradigms. Cross-Functional Leadership: Excellent communicator who resolves disagreements, aligns teams on solutions, and inspires both SDMA engineers and cross-functional partners.
- Bonus Qualifications Organizational Change Leadership: Experience driving organization-level mindset shifts and leading visible, high-impact technical initiatives. Agentic Workflow Experience: Hands-on experience managing and implementing agentic workflows and products. Autonomy and Robotics: Experience with autonomous vehicle development or similarly complex robotics systems
- $212,000 - $267,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
- About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
- We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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