Robotics Deployment Product Manager

Genesis AI; Paris; On-site; EUR 70,000 - 110,000; Full time

Job summary

Genesis AI is seeking a Senior Product Manager to own the roadmap for our core Physical AI capabilities, translating research breakthroughs into deployable, customer-facing products. You will sit at the intersection of research, robotics engineering, and field deployment to turn ambiguous technical tradeoffs into clear product decisions and define readiness criteria for each release.

You will drive cross-functional alignment across distributed teams in research, engineering, and field

Qualifications

• Track record shipping technical products with complex tradeoffs.
• Ability to read policy evaluations and discuss sim-to-real gaps.
• Prefer hands-on field evaluation over theoretical analysis.
• Strong writing: specs and decision logs that endure absence.
• Comfort with incomplete info in fast-moving fields.
• Has international expertise and connections.

Responsibilities

• Own the product roadmap needed for deployment of core Physical AI capabilities.
• Translate research breakthroughs into deployable, customer-facing products.
• Define readiness criteria and success metrics for each release.
• Drive cross-functional alignment across research, engineering and field ops.
• Supervise technical POCs and pilots for Genesis customers & partners.
• Collaborate with robotics team on requirements, data privacy and infra constraints.

Skills

Shipping complex tech

Policy evaluation literacy

Sim-to-real gap analysis

Live customer floor testing

Clear written specs

International networks

Job description

Genesis AI is seeking a Senior Product Manager to own the roadmap for our core Physical AI capabilities, translating research breakthroughs into deployable, customer-facing products. You will sit at the intersection of research, robotics engineering, and field deployment to turn ambiguous technical tradeoffs into clear product decisions and define readiness criteria for each release.

You will drive cross-functional alignment across distributed teams in research, engineering, and field