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Fuse Energy

AI Operations Manager

Reposted 17 Days Ago
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In-Office
London, Greater London, England, GBR
Junior
In-Office
London, Greater London, England, GBR
Junior
The AI Operations Manager will identify AI opportunities, redesign operational processes, and build internal AI tools to enhance efficiency in operations and trading.
The summary above was generated by AI

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.

This is not a traditional operations role. You will sit at the intersection of AI, data, and real-world energy systems, responsible for deploying, scaling, and continuously improving AI-driven operations across the business.

You will turn AI from a set of tools into a core operational backbone that drives efficiency, automation, and decision-making across trading, energy networks, and internal workflows.

Responsibilities

No two days will look the same. You will work across high-impact problems where AI can unlock step-function improvements.

  • Identify high-impact opportunities to apply AI across the business (trading, customer operations, product development, internal tooling)
  • Redesign core operational processes to be AI-first
  • Eliminate manual work across functions through intelligent automation
  • Build internal AI tools that supercharge teams across product, finance, and operations
  • Evaluate and integrate emerging AI technologies rapidly
  • Act as a bridge between technical teams and business functions

Requirements
    • Bachelors degree from a top university in STEM
    • Deep curiosity about AI and a track record of using it in real-world settings
    • Relentless approach to solving problems
    • Comfortable learning quickly and iterating
    • Ability to work well individually or in a team

Benefits
  • Competitive salary and an equity sign-on bonus
  • Biannual bonus scheme
  • Fully expensed tech to match your needs
  • Paid annual leave
  • Breakfast and dinner allowance for office based employees

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