Product Execution Manager

Mobileye is seeking a brilliant Product Execution Manager to lead the execution of advanced algorithmic products – Computer Vision, LiDAR, Radar, and Camera – for global automotive partners and Mobileye’s internal AV development.

** This role requires working from our Jerusalem office two days per week.
What will your job look like:
Responsibility for managing the executing Autonomous vehicle sensing projects, ensuring the company meets its commitments to our clients
Lead complex development projects from the requirements phase through to implementation
Closely track development progress and obtain approvals for technical requirements from R&D teams
Work horizontally across internal teams (R&D, AV, REM) to unify and create a coherent product
Create optimal connections between different interfaces that don't naturally communicate, to ensure projects move forward smoothly and efficiently
Joint work with lead car manufacturers, including joined workshops, test drives, and functional tuning
Managing debugging and validation of performance and functionality across the features within the autonomous vehicle sensing stack
All you need is:
Strong executor with vast leadership background and hard work ethic
B.Sc. in Computer Science or a related engineering field
M.Sc./MBA - Advantage
At least 3 years of experience in closely managing and leading development teams in complex R&D projects/products
Development background - Advantage
Proven experience in customer-facing positions
Excellent communication and management skills
Fluent in English and Hebrew
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.