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What will your job look like:
- Plan and coordinate execution across teams for complex projects, with a focus on AI development.
- Drive adoption of a modern ML development lifecycle built by the AI Engineering group.
- Define and implement success metrics for AI Engineering products, especially measures of integration, onboarding, and team adoption.
- Engage with product users, customers, and partners to understand needs, shape roadmaps, and drive execution with cross-functional teams.
- Work closely with group engineers and product managers to align priorities, plans, and delivery.
- Monitor progress against group goals, identify risks, and help teams stay focused on outcomes.
- Identify and help resolve technical and organizational blockers.
- Support group-level planning, communication, and management activities.
- Build a culture of focus, accountability, and high-quality execution across a talented, experienced, and opinionated team.
All you need is:
- Experience leading execution across multiple teams on complex technical or product initiatives.
- Strong understanding of AI and ML development workflows, platforms, or products.
- A track record of turning strategy and roadmaps into clear plans, measurable outcomes, and delivered results.
- Experience defining success metrics and using them to guide product adoption and improvement.
- Strong communication and stakeholder-management skills, including the ability to work effectively with technical teams, leaders, customers, and partners.
- Sound judgment and prioritization skills, with the ability to create focus in a fast-moving environment.
- The confidence to engage with technical challenges, surface blockers, and work with engineers to move toward resolution.
Skills Required
- Experience leading execution across multiple teams on complex technical or product initiatives.
- Strong understanding of AI and ML development workflows, platforms, or products.
- Track record of translating strategy and roadmaps into clear plans, measurable outcomes, and delivered results.
- Experience defining success metrics and using them to guide product adoption and improvement.
- Strong communication and stakeholder-management skills with technical teams, leaders, customers, and partners.
- Sound judgment and prioritization skills in a fast-moving environment.
- Ability to engage with technical challenges, identify blockers, and work with engineers toward resolution.
What We Do
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.
Why Work With Us
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.
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