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3 дня назад

Robot Operations Manager (Robotics)

120 000 - 145 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Robot Operations Manager (Robotics): Managing global fleet allocation, readiness, and regulatory alignment for a sidewalk delivery robot fleet with an accent on supply chain coordination and regulatory compliance. Focus on modeling robot allocations per neighborhood, ensuring hardware readiness for city launches, and maintaining global regulatory databases.

Location: Remote (USA)

Salary: $120,000 – $145,000 + Equity

Company

hirify.global is reimagining urban movement with personable sidewalk robots designed to optimize city deliveries and benefit local businesses.

What you will do

  • Model, forecast, and recommend robot allocations for new and existing markets.
  • Maintain the master allocation calendar, aligning supply chain, repairs, and city launch timelines.
  • Manage a live database of regulatory requirements (speed limits, sidewalk rules, etc.) for all operating areas.
  • Collaborate with Policy and Hardware teams to ensure robots meet regional configurations and compliance certifications.
  • Develop analytical models to determine ideal robot density based on demand and utilization goals.
  • Act as the primary bridge between Expansion, Product, Fleet Maintenance, Policy, and Hardware teams.

Requirements

  • 3–7 years of experience in operations, supply chain, robotics, or mobility.
  • Strong analytical skills with proficiency in SQL or Sheets modeling.
  • Proven cross-functional experience working with hardware, policy, or compliance teams.
  • Ability to travel approximately 10% of the time.
  • Must be based in the USA.

Nice to have

  • Experience in autonomous systems, micromobility, or last-mile logistics.

Culture & Benefits

  • Opportunity to work with tech industry veterans in software and hardware.
  • Agile, diverse, and collaborative team environment.
  • Focus on solving real-world problems using machine learning and computer vision.
  • Equity offers included in compensation.

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