AI Product Owner

Job description / Role

Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast. We combine first-principles thinking with cutting-edge technology to build a radically better energy system.

Weve raised over $200M from top-tier investors, including Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, 20VC, Hummingbird, and Collaborative Fund, alongside strategic angels including Nico Rosberg and GPs behind Meta, Revolut, Spotify, and Uber.

Were building a fully integrated energy company: developing our own solar, batteries, and other generation projects; building our own hardware; improving and developing grid infrastructure; trading power in real time; using AI across the business; and installing distributed energy in homes. By selling directly to consumers, we cut out the middleman, lower costs, and pass the savings on to our customers.

This isnt a traditional product role. AI engineers at Fuse are shipping real, customer-facing systems across the business. Youll own the product side of this work: sitting close to the engineers, turning ambiguous, high-impact problems into scoped projects, owning the roadmap, and being the bridge between engineering and the rest of the business.

Responsibilities

• Own the product roadmap for Fuses AI initiatives end-to-end, from identifying high-impact problems to scoping, prioritizing, and shipping solutions.
• Partner day-to-day with AI engineers on live projects spanning customer operations, data labeling and collection, and other business functions.
• Translate ambiguous problems from trading, customer operations, and internal tooling into clear, scoped projects with defined success metrics.
• Build and manage the backlog for AI engineering, balancing speed, data and model quality, and business impact.
• Define how AI systems are evaluated in production and drive the feedback loops that keep improving them post-launch.

Requirements

• Bachelors degree from a top university in STEM.
• Experience as a product owner, product manager, or technical program manager on engineering-heavy products, ideally in AI/ML or data.
• Deep curiosity about AI and a track record of using it in real-world settings.
• Comfort working directly with engineers and translating between technical and business teams without losing precision on either side.
• A relentless approach to solving problems and comfort operating with ambiguity.

Benefits

• Competitive salary and eligibility for equity.
• Biannual bonus scheme.
• Fully expensed tech to match your needs.
• Private health insurance.
• Breakfast and dinner allowance for office-based employees.

As we hire globally, benefits vary by location.