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Technical Product Manager, Autonomous Driving
Not specifiedFull-timeProduct ManagementAutomotive
Own product definition and delivery for autonomous driving features, translating customer needs and driving challenges into requirements, priorities, and validation objectives.
Responsibilities
- Own the product definition and roadmap for assigned autonomous driving features, aligned with strategy and customer needs.
- Translate use cases, customer expectations, and system constraints into measurable requirements and acceptance criteria.
- Prioritize capabilities and improvements, balancing customer value, safety, performance, technical feasibility, and timelines.
- Partner with development, systems engineering, validation, and project teams through development, integration, and release.
- Set performance indicators and validation objectives, assess results, and guide improvements.
- Analyze driving data, test results, and customer feedback to identify gaps and priorities.
- Lead technical discussions to resolve trade-offs and align teams on expected system behavior.
- Work with automotive manufacturers through technical workshops, test drives, and feature evaluations.
- Maintain product documentation and communicate priorities, decisions, risks, and progress to stakeholders.
Requirements
- Bachelor's degree in computer science, electrical engineering, or a related engineering discipline.
- At least 3 years of technical product management experience, preferably with complex multidisciplinary systems.
- Strong technical understanding and ability to discuss system behavior, software capabilities, and engineering trade-offs.
- Experience translating customer needs into product requirements and guiding products through development and validation.
- Experience working directly with customers and aligning stakeholders across teams.
- Strong analytical and problem-solving skills, including using data to support product decisions.
- Fluent English and Hebrew.
Nice to have
- Experience in autonomous driving, ADAS, robotics, computer vision, medical devices, or other complex physical systems.
- Background in software development, systems engineering, or technical development leadership.
- Experience evaluating system performance with real-world data and scenario-based testing.
- A relevant technical master's degree or MBA.