Senior Product Manager (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Product Manager (AI): Building and optimizing AI-native energy transaction infrastructure with an accent on ML-led forecasting, pricing optimization, and portfolio balancing. Focus on solving complex technical challenges, driving product execution in a high-growth environment, and ensuring sys reliability for live financial risk.
Location: Must be based in the United Kingdom
Salary: £85,000
Company
is an AI-native energy infrastructure company rebuilding global energy markets to be transparent, fair, and efficient.
What you will do
- Translate business and customer needs into feasible, shipped product features.
- Own technical-product details, setting success criteria for ML models and forecasting syss.
- Design for edge cases and operational realities in a sys carrying live financial risk.
- Drive open product decisions to completion, maintaining a clear roadmap of current and future initiatives.
- Collaborate closely with ML, data science, and software engineering teams to influence model performance.
- Analyze data to validate ideas, measure success, and inform strategic product decisions.
Requirements
- Must be based in the United Kingdom
- Technically strong product manager with experience embedded in full-stack teams including ML and data science.
- Track record of owning complex product areas end-to-end and delivering measurable business outcomes.
- Proven experience building products in a startup, scaleup, or high-growth environment.
- Strong instinct for failure points, edge cases, and operational realities of live syss.
- AI-literate with a clear understanding of where AI adds value and where it introduces risk.
- Strong, structured communication skills, particularly in writing.
Nice to have
- Experience in energy, fintech, or two-sided marketplaces.
- Background in regulated industries or data-heavy products.
- Experience with international expansion or third-party access transitions.
Culture & Benefits
- Competitive salary with twice-yearly reviews based on market data.
- Equity ownership through stock options for all team members.
- 25 days holiday plus public holidays, with flexibility to swap days and an extra day for your birthday.
- Fully remote work environment with clear core hours and no internal meetings on Friday afternoons.
- Annual £1,200 home working/wellbeing budget and monthly £150 wellbeing allowance.
Hiring process
- Initial 30-minute call with the Talent Team.
- 45-minute behavioral interview with the Product Lead.
- 75-minute technical interview with the team to discuss product execution and ML collaboration.
- 45-minute culture-add interview with cross-functional stakeholders.
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