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Mobileye Technical Product Manager AI Engineering Israel, Jerusalem District, Jerusalem 555612077
23.07.2024
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Technical Product Manager for ML Development Cycle
consisting of excellent and experienced engineers with diverse skills in algorithms, software and DevOps.
Our goal is to set a new engineering level by
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.
All you need is:
- 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.
Advantages:
- Experience in code development
- Experience with Python
- Knowledge in modern cloud, Containers and CI
- Experience with MLOps
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