AI Product Owner: Real-World Energy AI Solutions

Fuse Energy; Paris; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary and equity

Biannual bonus scheme

Fully expensed tech

Private health insurance

Breakfast and dinner allowance

Job summary

Fuse Energy, a Paris-based energy startup, is hiring AI-focused product leaders to own end-to-end AI initiatives from problem to deployment. You’ll work closely with AI engineers, translating high-impact challenges into scoped projects and defining success metrics.

The role emphasizes shipping customer-facing AI systems, building roadmaps, and balancing technical and business needs in a fast-growing energy tech company.

Qualifications

• Bachelor's degree from a top university in STEM.
• Experience as a product owner, product manager, or technical program manager on AI/engineering-heavy, data-heavy products.
• Deep curiosity about AI and a track record of using it in real-world settings.
• Comfortable working directly with engineers and translating between technical and business teams without losing precision.

Responsibilities

• Own the product roadmap for AI initiatives end-to-end, scoping, prioritizing and shipping solutions.
• Partner day-to-day with AI Engineers on live projects spanning operations, data labeling and collection.
• Translate ambiguous problems from trading, operations, and internal tooling into clear, scoped projects with defined success metrics.
• Build and manage the backlog for AI engineering, balancing speed, data/model quality, and business impact.
• Define how AI systems are evaluated in production, and drive continuous improvement post-launch.

Skills

AI/ML product mgmt

Engineering liaison

Stakeholder comms

Ambiguity tolerance

Education

Bachelor's in STEM

Job description

Fuse Energy, a Paris-based energy startup, is hiring AI-focused product leaders to own end-to-end AI initiatives from problem to deployment. You’ll work closely with AI engineers, translating high-impact challenges into scoped projects and defining success metrics.

The role emphasizes shipping customer-facing AI systems, building roadmaps, and balancing technical and business needs in a fast-growing energy tech company.