AI Technical Product Owner, 100% En remoto
AI Technical Product Owner
The AI Technical Product Owner will have genuine authority over what the AI models do and genuine credibility with the engineering team that builds them.
You will work with experienced ML engineers, optimisation specialists, and energy market analysts.
You will:
- Convert energy market requirements into AI/ML specifications the engineering team can implement.
- Be the first person to say when a model output does not make commercial sense - and explain why
- Define, prioritise, and validate the AI/ML product requirements for the VPP platform (Virtual Power Platform) - ensuring that the models the engineering team builds are grounded in real energy market mechanics and produce outputs that are commercially actionable.
Responsibilities:
AI product specification
Own the product backlog for AI/ML modules: bidding optimisation engine, price forecasting, generation forecasting, and battery dispatch optimisation
Write AI product requirements in a format that bridges market language and engineering language - specifying inputs, outputs, accuracy thresholds, edge cases, and failure modesDefine acceptance criteria for each AI module: what does the model need to demonstrate in back-testing and live market conditions before it is production-ready.
Prioritise model improvement requests based on commercial impact - quantifying the revenue or penalty difference between current and improved performance
Domain translation validation
Translate energy market mechanics into mathematical formulationsReview AI model outputs for commercial plausibility
Facilitate model validation sessions between the energy market expert team and the engineering team
Define the back-testing scenarios and performance benchmarks against which the AI models are evaluated
Product roadmap
Maintain the AI product roadmapDefine the AI product requirements
Manage the AI feature specification backlog in Jira or equivalent
Stakeholder alignment
Act as the primary point of contact between market stakeholders for AI product decisionsProduce regular product progress updates
Identify and escalate AI product risks
Multinational Energy Industry CompanyAI Tech Lead - Expert AI
The AI Technical Product Owner will have:
Ideally Energy market knowledgeAI/ML product ownership - experience defining requirements for, and validating the outputs of, ML models or optimisation algorithms
Back-testing and model validation
Experience
Ideally, 5+ years in energy technology, energy trading, VPP (Virtual Power Platform) operations, or a technical product role at the intersection of energy markets (valuable) and software/AI systemsAt least one example of a product or system you owned where AI/ML outputs directly drove market or operational decisions - and you were accountable for whether those decisions were commercially correct
Candidates with backgrounds in energy trading desks, VPP (Virtual Power Platform) aggregator operations, energy technology product management, or AI/ML product ownership in regulated markets will be prioritised
Education
Bachelors degree or above in Engineering, Computer Science, Economics, Physics, or a related quantitative disciplineMasters degree in energy systems, power markets, or a related field is a strong plus
Language
English: required - primary working language all engineering documentation, product specifications, and cross-team communication is in English
Multinational Energy Industry Company
100 Remote position (there is an office in Madrid if someone would want to go)
Interesting professional opportunity in Energy and Renewable sector
AI, ML, Virtual Power Platform