Senior Technical Program Manager (FR)

Genesis; Paris; On-site; EUR 110,000 - 140,000; Full time

Benefits offered by this job

Robotics experience

French language

Job summary

Genesis in Paris is seeking a Senior Technical Program Manager to coordinate ambitious AI and robotics programs across the Bay Area and Europe. You will bridge researchers, hardware and software engineers, turning bets into shipped results with clear ownership, timelines, and measurable progress.

You will drive cross-functional work, align teams across continents, and design lightweight systems to keep execution focused on meaningful outcomes.

Qualifications

• 4+ years leading complex technical programs end-to-end in fast-moving environments (startup, research lab, or high-growth tech)
• Enough technical fluency to discuss ML training with researchers and hardware integration with engineers
• Track record of rapidly learning new technical domains and becoming useful
• Crisp, direct communication that aligns researchers, engineers, and leadership
• Bias for action with a preference for speed over excessive analysis
• Ownership mentality: you own the outcome and drive the process to tangible results

Responsibilities

• Drive cross-functional programs at the frontier of AI and robotics, from foundation model training to hardware–software integration
• Turn ambitious goals into lean roadmaps with clear deliverables, owners, and timelines
• Dive into robotics hardware, software, simulation, and large-scale AI to surface trade-offs and risks
• Keep Bay Area and Paris teams aligned, dependencies unblocked, and risks visible early
• Build lightweight systems (roadmaps, metrics, dashboards) to focus execution on what matters
• Leverage AI to automate program management workflows so status updates and risk tracking run themselves

Skills

Program management

Technical fluency

Learning agility

Communication

Bias for action

Ownership

Job description

Senior Technical Program Manager, Paris

About Genesis
Genesis is a physical AI research lab and full-stack robotics company building a universal robotics foundation model (one AI “brain” that can power many kinds of robots) and a horizontal robotics platform. We work in San Francisco, Paris and London and combine large-scale AI research, an in-house physics simulation engine, and real robot hardware under one roof.

The role
You’ll be the person who turns our most ambitious bets into shipped results. You’ll sit between researchers, hardware engineers, software engineers and leadership, across two continents, making sure everyone knows what matters, who owns it and when it lands.

What you’ll do

• Drive cross-functional programs at the frontier of AI and robotics, from foundation model training to hardware–software integration, with pace and accountability

• Turn ambitious goals into lean, unambiguous roadmaps: clear deliverables, clear owners, clear timelines

• Dive into robotics hardware, software, simulation, and large-scale AI to understand trade-offs, surface uncertainties, and ask the questions others miss

• Keep Bay Area and Paris teams tightly aligned, dependencies unblocked, and risks visible early

• Build lightweight systems (roadmaps, metrics, dashboards) that keep execution focused on what matters

• Leverage AI to build automated program management workflows, so status updates, risk tracking, and reporting run themselves and the team spends its time on real decisions

What you’ll bring

• 4+ years leading complex technical programs end-to-end in fast-moving environments (startup, research lab, or high-growth tech)

• Enough technical fluency to hold a real conversation with an ML researcher about a training run and with a hardware engineer about an integration test, so you can challenge an estimate, spot a hidden dependency, or flag a risk before it becomes a delay

• A track record of learning a new technical domain quickly and becoming useful in it within weeks, not months

• Crisp, direct communication that aligns researchers, engineers, and leadership

• Bias for action: many decisions can be reversed and you favor speed over endless analysis

• Ownership: you own the outcome and drive the process to get tangible results

Bonus

• Experience in robotics, hardware/software integration, or research workflows

• Fluency in French