Product Execution Manager

Reposted 4 Days Ago
Be an Early Applicant
Hiring Remotely in Jerusalem, ISR
Remote or Hybrid
Mid level
Automotive • Automation
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies.
The Role
Leads execution of autonomous vehicle sensing products from requirements through implementation. Manages complex R&D projects, tracks development progress, aligns technical requirements, coordinates cross-functional teams, and ensures coherent product delivery. Works with automotive partners through workshops, test drives, and functional tuning, while overseeing debugging and validation across the autonomous sensing stack.
Summary Generated by Built In
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 may offer the flexibility to work 1-2 days per week from our other sites, subject to seat availability. 

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.
  • At least 3 years of experience in closely managing and leading development teams in complex R&D projects/products.
  • Proven experience in customer-facing positions.
  • Excellent communication and management skills.
  • Fluent in English and Hebrew.

Nice to have:

  • M.Sc./MBA.
  • Development background.

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!

Skills Required

  • B.Sc. in Computer Science or a related engineering field
  • At least 3 years of experience managing and leading development teams in complex R&D projects or products
  • Proven experience in customer-facing positions
  • Excellent communication and management skills
  • Fluency in English and Hebrew
  • M.Sc. or MBA
  • Development background
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The Company
HQ: Jerusalem
3,700 Employees

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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