Technical Program Manager

Genesis AI

Greater London

On-site

GBP 90,000 - 130,000

Full time

5 days ago
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Job summary

Genesis AI is seeking a Technical Program Manager to drive execution of critical customer deployments, coordinating robotics, AI, hardware, and software across complex programs.

You will own cross-functional programs, manage milestones, and translate technical requirements for enterprise customers while building scalable deployment processes and ensuring timely delivery.

Qualifications

  • 5+ years of experience in technical program management, systems engineering, or product operations for complex hardware/software platforms.
  • Ability to navigate technical discussions with software engineers, roboticists, and ML researchers.
  • Proven track record leading cross-functional programs from planning through production rollout.
  • Strong written and verbal communication to align distributed teams and stakeholders.
  • Structured approach to ambiguous operational problems.

Responsibilities

  • Partner with Head of Deployment to drive end-to-end execution of customer deployments.
  • Own cross-functional programs spanning robotics software, AI, hardware, infrastructure, operations, and customer success.
  • Coordinate engineering milestones across teams and manage critical dependencies.
  • Drive site readiness: integration planning, testing, validation, logistics, and launch execution.
  • Engage with enterprise customers to translate requirements and report progress.
  • Identify execution risks and resolve blockers across engineering teams.
  • Build scalable deployment planning, release management, and onboarding processes.
  • Define deployment and scaling of physical AI/robotics systems across environments.

Skills

Technical program management
Systems engineering
Cross-functional leadership
Communication
Problem solving
Travel readiness

Job description

We are looking for a Technical Program Manager to work directly with our Head of Deployment to drive execution across our most critical customer deployments. You will operate at the center of complex engineering programs to coordinate AI, robotics, hardware, operations, and customer teams to move our systems from prototype to real-world production.

What You'll Do
  • Partner directly with the Head of Deployment to drive end-to-end execution of customer deployments.

  • Own cross-functional programs spanning robotics software, AI, hardware, infrastructure, operations, and customer success.

  • Coordinate engineering milestones across multiple teams and ensure critical dependencies stay on track.

  • Drive site readiness, including integration planning, testing, validation, site logistics, and launch execution.

  • Engage directly with enterprise customers to translate technical requirements, report progress, and manage timelines.

  • Identify execution risks early and work across engineering teams to resolve technical and operational blockers.

  • Build scalable processes for deployment planning, release management, and customer onboarding.

  • Define how Genesis deploys and scales physical AI and robotics systems across diverse customer environments.

What You'll Bring
  • 5+ years of experience in technical program management, systems engineering, or product operations for complex hardware/software platforms.

  • Technical depth to comfortably navigate technical discussions with software engineers, roboticists, and ML researchers.

  • Track record of leading cross-functional engineering programs from early planning through production rollout.

  • Clear written and verbal communication skills to align distributed engineering teams, leadership, and external enterprise stakeholders.

  • Strong systems thinking with a habit of bringing structure to ambiguous operational problems.

  • Willingness to travel to customer sites as needed to support critical deployment milestones.

  • Bonus: Direct experience deploying robotics or autonomous systems into real-world environments.

  • Bonus: Technical background in autonomy, perception, controls, simulation, machine learning, or field engineering.

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