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Zoox

Senior/Staff Technical Product Manager, Agentic AI Transformation

Zoox is hiring a Senior/Staff Technical Product Manager, Agentic AI Transformation in Foster City, United States. It pays $212k-$267k a year and Level rates it ; you can apply on Zoox.

Level's read on this job

  • Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Pay on this posting starts 18% higher than the typical AI product manager posting on Level.
  • The posting mentions AI agents among its tools and skills.
  • Zoox has 234 other open roles on Level.
  • Posted in the last few days.

AI in this role

ai-agents

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

About ZooxZoox 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.
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.

How we rate this

Senior/Staff Technical Product Manager, Agentic AI Transformation at Zoox rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agents

Also common in AI product manager jobs at this level

Pay

This job starts at
$212k
Typical AI product manager job
$179k

This posting starts 18% above the typical AI product manager job. See AI product manager jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

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  • List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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