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Salary
≈ $57k – $102k per year (Estimated)
Location
Hybrid (Paris, France)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Sep 24, 2026. Genesis AI scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Eno. We plan to begin targeted customer deployments by the end of 2026. How can Eno work for you?

What You'll Do

  • Own the product roadmap needed for deployment for our core Physical AI capabilities, translating research breakthroughs into deployable, customer-facing products.

  • Sit at the intersection of research, robotics engineering, and field deployment to turn ambiguous technical tradeoffs into clear product decisions.

  • Define what "ready for a customer site" actually means by setting success metrics, reliability thresholds, and scope boundaries for each release.

  • Drive cross-functional alignment across distributed teams in research, engineering, and field operations.

  • Customer-facing, supervising technically POCs and pilots for Genesis customers & partners and for internal projects

  • Working closely with the robotics team on requirements (robot, data collection, privacy, infra constraints)

What You'll Bring

  • Track record of shipping technical products where the primary challenge was managing complex tradeoffs, not filling out roadmap slides.

  • Deep enough technical understanding to read a policy evaluation, understand a sim-to-real gap, or participate in complex debug sessions and ask the right questions without needing to write the code yourself.

  • Strong bias toward the field over the whiteboard, preferring to evaluate a failed pick on a live customer floor over reading ten synthetic benchmark reports.

  • Exceptional written communication skills to write specs and decision logs that hold up when you're not in the room.

  • Comfort operating with incomplete information in a fast-moving, pre-paradigm field where answers aren't obvious.

  • International expertise and connections

Bonus:

Prior experience in deployment, robotics, autonomy, or another domain where "works in the lab" and "works in the world" carry vastly different bars for success.

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