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2 дня назад

Technical Program Manager (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Technical Program Manager (AI) (AI/robotics deployment): Driving end-to-end customer deployments of physical AI and robotics systems with an accent on cross-functional engineering coordination, site readiness, and production rollout. Focus on coordinating software, hardware, infrastructure, operations, and customer teams, resolving technical blockers, and scaling deployment processes across diverse environments.

Location: London, hybrid. Travel to customer sites is required as needed for critical deployment milestones.

Company

hirify.global develops physical AI and robotics systems for deployment in real-world customer environments.

What you will do

  • Drive end-to-end execution of critical customer deployments with the Head of Deployment.
  • Own cross-functional programs across robotics software, AI, hardware, infrastructure, operations, and customer success.
  • Coordinate engineering milestones, dependencies, release management, and deployment planning.
  • Lead site readiness activities, including integration planning, testing, validation, logistics, and launch execution.
  • Engage with enterprise customers to translate technical requirements, report progress, and manage timelines.
  • Identify technical and operational risks, resolve blockers, and define scalable deployment processes for physical AI and robotics systems.

Requirements

  • 5+ years of experience in technical program management, systems engineering, or product operations for complex hardware/software platforms.
  • Technical depth to navigate discussions with software engineers, roboticists, and machine learning researchers.
  • Experience leading cross-functional engineering programs from early planning through production rollout.
  • Clear written and verbal communication skills for aligning distributed engineering teams, leadership, and enterprise stakeholders.
  • Strong systems thinking and the ability to structure ambiguous operational problems.
  • Willingness to travel to customer sites as needed.

Nice to have

  • Experience deploying robotics or autonomous systems in real-world environments.
  • Technical background in autonomy, perception, controls, simulation, machine learning, or field engineering.

Culture & Benefits

  • Hybrid work based in London.
  • Direct collaboration with the Head of Deployment, engineering leadership, distributed teams, and enterprise customers.
  • Work spanning AI, robotics, hardware, infrastructure, operations, and physical deployment environments.

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