Technical Product Manager — Cloud & Services (Maternity Leave Cover)
About this role
Mobileye's Development Infrastructure group builds the cloud platforms, data services, and AI-powered tooling that Mobileye & OEM customers depend on to develop autonomous-driving systems. We are looking for a Technical Product Manager to own cloud and data services used by our internal teams and external customers, alongside a new generation of AI-native, agentic products that bring Mobileye's proprietary knowledge and self-service tooling directly to engineers.
This is a hands-on technical product role, but not only that. You'll own roadmap, requirements, and cross-functional execution while staying close to the technology itself. Just as importantly, you can zoom out to shape the high-level product story — the vision and the “why” that align stakeholders and give the work direction. As we increasingly integrate AI into our products, we need a PM who learns fast and turns ideas into working products.
You'll shape how a sophisticated, multi-petabyte data and cloud ecosystem evolves, influencing how Mobileye's platforms are built internally and how leading global OEMs consume our data and services. It's a rare seat at the intersection of cloud infrastructure, data delivery, and applied GenAI, on products that directly support the future of autonomous mobility.
- This is a full-time, 12-month position covering a maternity leave, with potential for extension based on business needs.
\nWhat will your job look like?
- Own the product strategy and roadmap, partnering with technical leadership to define scope, milestones, and success metrics, and keeping business priorities and engineering execution aligned.
- Act as the point of contact for both internal engineering teams and external OEMs — driving requirement definition, prioritization, and ongoing engagement, and owning the lifecycle of feature requests, issues, and escalations.
- Lead cross-functional execution across engineering, data, and infrastructure teams, proactively managing dependencies, risks, and delivery timelines while providing clear visibility into product status and outcomes.
- Get hands-on with the technology — digging into the products firsthand to see how they behave, test assumptions, and validate solutions before they ship.
- Drive our AI-native products — agentic assistants built on MCPs, skills, and retrieval — defining how they surface Mobileye's proprietary knowledge and automate self-service for engineers.
- Lead product releases end to end — planning launches, enabling users, driving adoption, and tracking usage and user engagement to inform the next iteration.
- Define product standards and documentation practices — design docs, user guides, and release materials — to ensure clarity, scalability, and operational excellence.
- At least 7 years of experience in a technical product management role, preferably in Cloud or related domains.
- Experience defining products, translating complex concepts into clear requirements, and working closely with engineering teams.
- Fluency with AI tools like Claude Code or Cursor, and comfort working hands-on in CLI and Ubuntu environments, with the ability to learn new tools fast.
- Strong technical depth — able to dig into problems alongside engineers and drive issues to resolution.
- Excellent communication and storytelling skills — able to turn complex, technical work into a clear narrative that aligns and influences diverse stakeholders.
- Strong problem-solving, organizational, and analytical capabilities.
- B.Sc. in Computer Science, Electrical Engineering, or a related technical field (M.Sc./MBA is a plus).
- Hands-on software development background — an advantage.
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
Company at a glance
Mobileye pioneers physical AI for intelligent systems including advanced ADAS, autonomous driving solutions, and humanoid robotics.
Mobileye’s physical AI foundation reflects decades of experience in real-world driving intelligence, applying the same engineering principles that shaped its automotive AI leadership to AI for humanoid robotics in complex physical environments.
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