Data Product Manager - Algorithms Division

Mobileye's Algorithms Division is looking for a highly technical, hands-on Data Product Manager to drive complex data solutions that support advanced algorithm development.

In this role, you will work at the intersection of algorithmic research, data, and engineering. You will collaborate closely with algorithm researchers and development teams to understand complex technical challenges, translate research-driven needs into detailed technical requirements, and drive the development of data tools, infrastructure, and solutions.

This position requires strong technical expertise, a deep understanding of data and software development, and the ability to take an active, hands-on role in solving technical challenges.

What will your job look like?

• Work closely with algorithm researchers and development teams to understand research processes, identify data needs, and translate them into detailed technical requirements.
• Lead the technical definition of data solutions, tools, and infrastructure supporting algorithm development, training, and validation.
• Collaborate with Data Collection and Data Infrastructure teams to ensure data quality, availability, and alignment with algorithmic requirements.
• Define and improve data structures, standards, and workflows to support efficient algorithm development and experimentation.
• Identify technical challenges and bottlenecks across the data lifecycle and drive practical solutions in collaboration with engineering teams.
• Take a hands-on approach to technical problem-solving, including building prototypes, automating workflows, and developing internal tools using AI-assisted development tools.
• Work with cross-functional teams, including FinOps, to optimize data storage, usage, and cost efficiency.
  
  

• B.Sc. in Computer Science, Software Engineering, or a related technical field.
• At least 5 years of experience in technical product management, with a strong focus on complex, engineering-driven products or platforms.
• Deep technical understanding of data systems, software architecture, development workflows, and infrastructure.
• Proven experience working closely with R&D teams, translating complex technical or research-driven needs into detailed product and engineering requirements.
• Hands-on technical capabilities, including the ability to independently build small tools, prototypes, or applications.
• Experience with AI coding tools such as Cursor and Claude Code.
• Strong analytical and problem-solving skills, with the ability to understand complex technical challenges and drive solutions.
• Excellent communication skills and ability to work effectively with technical stakeholders.
• Previous hands-on software development experience - a strong advantage.