Data Product Manager

The Position

Mobileye's Data Product Management Team is looking for a highly driven and dynamic Product Manager to join us in shaping the future of Autonomous Driving systems.

Our team builds and delivers data products powered by complex algorithms, managing millions of data records and advanced data pipelines. We are also responsible for ensuring Mobileye's data is well-structured, efficiently processed, and easily accessible to internal stakeholders. This includes designing data models, optimizing data processing workflows (pipelines), and defining user-friendly data access mechanisms (APIs).

The ideal candidate is organized, responsible, and customer-oriented, with strong communication and problem-solving skills. A deep technological understanding and the ability to contribute to architectural design are essential.

What will your job look like?

• Collaborate with algorithm development and infrastructure teams, identifying and removing roadblocks while tracking product status.
• Engage with internal customers, gathering and documenting their requirements, providing support, and managing bug reports and feature requests.
• Define and maintain the product roadmap, working closely with technical leads to document, track, and communicate plans with both internal teams and customers.
• Create clear and comprehensive documentation, including design documents, user guides, and release notes.
• Contribute to delivering high-quality data products that enhance Mobileye’s autonomous driving capabilities.
  
  

• 2-3 years of experience in a technical product management role.
• BSc in Computer Science, Engineering, or a related field.
• Experience in managing complex product lifecycles and leading cross-functional teams.
• Proven experience in translating business objectives into technical requirements.
• Strong understanding of data modeling, processes, and pipelines.
• Familiarity with designing API requirements.
• The Ability to produce clear, well-structured documentation in English.
• Excellent analytical and problem-solving abilities, with keen attention to detail
  
  

• Proficiency in SQL and experience handling complex datasets.
• Familiarity with AWS, GCP, or other cloud platforms.