Technical Product Manager

Technical Product Manager for ML Development Cycle

Mobileye is a pioneering force in the autonomous vehicles (AV) industry. If you are a bright Technical Product Manager with a passion for making a difference - join us to make AV a reality.

We are looking for a Technical Product Manager to join our AI Engineering group, consisting of excellent and experienced engineers with diverse skills in algorithms, software and DevOps.

Our goal is to set a new engineering level by delivering a modern infrastructure and solutions to enhance Mobileye's algorithm development life cycle and shorten our delivery times. We develop cross-company products that enable the research and deployment of state-of-the-art algorithms.

What will your job look like:

• Own and push a modern ML development cycle built by AI Engineering group.
• Serve as the primary product focal point to over 50 Mobileye development teams and other internal stakeholders.
• Be a subject matter in how people build Machine learning models in Mobileye, from whiteboard to chip.
• Design and implement success metrics for AI Engineering products, with a focus on teams' integration and onboarding.
• You will engage with customers, define the roadmap and drive execution with cross-functional teams of developers, designers, and other teammates.
• Be a strong leader who can prioritize well, and who understands how to drive focus and excellence within a strong, talented, opinionated team.
• Manage a complete product life cycle - from conception to release with taking full ownership of each step.
• Lead all product-related activities, including features definitions, UX/UI, production release, reporting, etc.
• Work closely with our group engineers and product managers.
• Monitor and support the execution of the group goals and plans.
  
  

• Technical Bachelor's degree or equivalent experience.
• 2+ years of product management experience in a tech company.
• Experience in working on a product for technical users.
• Demonstrated leadership skills by managing a hard-working team to deliver enterprise products and strategies.
• Strong customer orientation and proven experience building products that meet customer needs and organizational goals.
• Knowledge of software development lifecycle process and methodologies.
• Effective at using data driven decision making to influencing others in a collaborative team environment.
• Ability to understand complex flows involving data operations & lifecycle.
• Former experience and knowledge in Machine Learning.
  
  

• Experience in code development
• Experience with Python
• Knowledge in modern cloud, Containers and CI
• Experience with MLOps