Technical Product Manager — Cloud & Services (Maternity Leave Cover)

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.

What 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.
All you need is:
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!

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.