Job Description

Arbe is leading a RADAR REVOLUTION, driving a zero-road-fatality reality by enabling truly safe driver-assist systems, and paving the way for a fully autonomous-driving future. The next level of road safety is dependent upon a vehicle’s ability to ‘sense’ the world around it. Arbe’s unparalleled 4D high-resolution imaging radar is disrupting the automotive industry by redefining what’s possible.

We’re looking for a talented Program Manager to join our innovative team. As a member of our team, you will own the day-to-day execution of multiple R&D projects in a multidisciplinary environment. You will act as the primary bridge between Product and R&D, ensuring seamless synchronization across shared engineering teams and external 3rd-party partners.

Responsibilities

• Multi-Disciplinary Sync- Manage dependencies and timelines across HW, SW, and System workstreams to ensure cohesive delivery
• Execution Management- Translate high-level roadmaps into detailed project plans, tracking milestones, risks, interfaces, resources loads and critical paths
• Technical Oversight- Facilitate projects execution practices - from Discovery to Done, using metrics and data to monitor timelines, bottlenecks and workloads
• Risk & Data Tracking- Proactively identify and reflect delivery risks early through execution metrics and KPI’s
• External Integration- Lead technical and operational coordination with 3rd party partners for strategic projects

Requirements

• Bachelor’s degree in Engineering, Physics or a related technical field
• Experience: 5+ years of PM experience in R&D in multidisciplinary R&D environments -Defense or RF systems -advantage
• Technical Fluency: Ability to engage in technical discussions with engineers and evaluate effort estimations
• Cross Functional Skills- proven experience managing shared resources and external stakeholders in a matrix environment
• Methodology- Practical experience with both Agile and Waterfall methodologies
• Data Driven: Ability to master schedules, KPIs, dashboards, and data-driven execution tracking via Jira or equivalent tools