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Lead Product Manager (Autonomy)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Lead Product Manager (Autonomy): Leading the strategy and execution of the core autonomy stack for hirify.global Driver with an accent on bridging AI research and commercial requirements. Focus on developing the autonomy roadmap, defining performance benchmarks, and accelerating the commercialization of driverless trucking and robotaxis.

Location: Must be based in San Francisco, Toronto, Pittsburgh, Dallas, or be remote within the US.

Company

hirify.global is building the next generation of autonomous driving technology for trucking and robotaxis.

What you will do

  • Define and execute the Autonomy roadmap for trucking and robotaxi verticals.
  • Manage the end-to-end product lifecycle, translating complex use cases into actionable requirements and performance benchmarks.
  • Lead cross-functional alignment across Engineering, Research, Simulation, Safety, and Commercial teams.
  • Analyze performance data from simulation and road testing to prioritize system readiness and issue resolution.
  • Monitor KPIs such as ODD coverage and route viability to drive data-driven commercialization decisions.

Requirements

  • 8+ years of Product Management experience in autonomous vehicles, robotics, or complex AI/ML systems.
  • Strong analytical skills to resolve dependencies and evaluate safety-performance tradeoffs.
  • Proven experience drafting strategic documents and presentations to communicate complex autonomy concepts.
  • Ability to transition from R&D-heavy environments to product-driven commercial execution.
  • Demonstrated leadership in fast-paced, high-growth environments.
  • Must be located in the US or Canada (as specified by office locations or Remote US policy).

Nice to have

  • Deep understanding of the autonomy stack (Perception, Prediction, Motion Planning, Localization).
  • Experience defining operational boundaries and safety validation milestones.
  • Technical background in Computer Science or Robotics.
  • Experience with Agile/Scrum tailored for deep-tech research.

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