Base: $106,600 to $192,700; bonus/equity: bonus po...
Hybrid (3 days onsite in warren, mi or mountain view, ca)
Automated driving and active safety (adas)
Product vision and strategy
Product metrics and user feedback
General Motors is seeking a Senior Product Manager for their Automated Driving and Active Safety (ADAS) team, focusing on developing innovative automotive solutions. The ideal candidate will have significant product management experience, strong analytical skills, and a passion for shaping the future of automotive safety
Job Summary
Lead the strategy, definition, and development of ADAS products within GM's vision of a world with Zero Crashes.
Incorporate data, research, and market analysis to inform product strategies and roadmaps, and drive product development with world-class teams.
Define, track, and analyze key product metrics, user feedback, and performance data to measure success and identify improvement areas.
Matching Summary
Match Score: 85
General Motors is seeking a Senior Product Manager for their Automated Driving and Active Safety (ADAS) team, focusing on developing innovative automotive solutions. The ideal candidate will have significant product management experience, strong analytical skills, and a passion for shaping the future of automotive safety.
Salary
Base: $106,600 to $192,700; Bonus/Equity: Bonus Potential; Benefits: Variety of health and wellbeing benefit programs
Skills & Requirements
Must-have
Automated Driving and Active Safety (ADAS)
product vision and strategy
product metrics and user feedback
cross-functional collaboration
data-driven decision making
Nice-to-have
driving innovation and change
subject matter expert
continuous improvement
Key Requirements
5+ years of product management experience
Familiarity with complex software solutions
Experience defining vision for software products with little precedence
Comfortable with complex and ambiguous problems
Masters or Doctorate degree in related field (preferred)
Experience with ADAS product development (preferred)
Experience with data scientists and AI/ML teams (preferred)
Experience handling regulatory and compliance requirements (preferred)