Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

startup.jobs

Tech stack

Artificial Intelligence Computing Platforms Systems Engineering Machine Learning Release Management

Job description

• 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.

Requirements

• 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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