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Fuse Energy

AI Product Owner

Fuse Energy

. Own the product roadmap for Fuse's AI initiatives end-to-end, from identifying high-impact problems to scoping, prioritizing and shipping solutions .

Posted 11/9/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing AI product roadmaps, translating complex problems into actionable projects, and collaborating effectively with engineering teams. Strong background in AI/ML applications and a relentless problem-solving approach in ambiguous environments.

Highest-signal resume keywords
Product Roadmap ManagementAI/ML Product ExperienceTechnical Program ManagementCollaboration With EngineersProblem-Solving Skills

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Product ManagementAI Systems EvaluationData LabelingData CollectionProject ScopingSuccess Metrics DefinitionBacklog ManagementEngineering Collaboration
Soft Skills
Curiosity About AICommunication SkillsAdaptabilityPrecision in Translation
Certifications & Qualifications
Bachelor's Degree in STEM
Industry Keywords
AI InitiativesCustomer OperationsEngineering-Heavy ProductsData-Heavy ProductsFeedback Loops

About the role

Key responsibilities & impact
  • Own the product roadmap for Fuse's 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/model quality, and business impact
  • Define how AI systems are evaluated in production, and drive the feedback loops that keep improving them post-launch
  • Work closely with engineers and bridge engineering with the wider business

Requirements

What you’ll need
  • Bachelor's degree from a top university in STEM
  • Experience as a product owner, product manager, or technical program manager on engineering-heavy, ideally AI/ML or data-heavy, products
  • Deep curiosity about AI and a track record of using it in real-world settings
  • Comfortable working directly with engineers, translating between technical and business teams without losing precision on either side
  • Relentless approach to solving problems, and comfortable operating with ambiguity

Benefits

Comp & perks
  • 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
  • Benefits vary by location