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Senior Product Manager (AI/ML)

85 000GBP
Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Product Manager (AI/ML): Building and scaling Rosso, a technically complex energy transaction product using ML-led forecasting, pricing optimisation, and portfolio balancing with an accent on turning customer needs into shipped products and defining model success criteria. Focus on solving edge cases, evaluating model performance, and managing live financial risk across full-stack, ML, and data science teams.

Location: Remote in the United Kingdom; clear core hours.

Salary: £85,000 annually or equivalent in local currency, plus equity.

Company

hirify.global is rebuilding energy transaction infrastructure with AI-native technology that makes electricity markets more transparent, efficient, and accessible.

What you will do

  • Turn business and customer needs into feasible, regularly shipped product outcomes.
  • Work closely with ML, data science, and software engineering teams on forecasting, pricing optimisation, and portfolio balancing.
  • Define model and forecast success criteria while accounting for edge cases and live financial risk.
  • Use data analysis and model performance indicators to guide product decisions.
  • Drive product initiatives from discovery through execution with clear Now, Next, and Future priorities.
  • Identify and solve complex problems across Rosso, including portfolio development and syshirify.global response to market events.

Requirements

  • Experience as a technically strong, ML-literate product manager embedded in full-stack teams including ML and data science specialists.
  • End-to-end ownership of a complex product area with measurable business outcomes.
  • Strong data analysis skills used throughout product discovery, delivery, and measurement.
  • Experience building products in a startup, scaleup, or other high-growth environment.
  • Strong ability to identify failure points, edge cases, and operational risks in live syshirify.globals.
  • Clear and structured written communication, with a critical understanding of where AI helps and where it hurts.

Nice to have

  • Experience in energy, fintech, regulated industries, or other domains where ML and forecasting are mission-critical.
  • Experience with two-sided marketplaces, third-party access, or international expansion.
  • Experience with data-heavy products.

Culture & Benefits

  • Fully remote and flexible working with no internal meetings on Friday afternoons.
  • 25 days of holiday plus public holidays, with the option to exchange public holidays.
  • Stock options and ownership in the company mission.
  • Up to £1,200 annually for home working and wellbeing setup costs.
  • Up to £150 monthly for wellbeing expenses.

Hiring process

  • First call with the Talent Team, followed by a behavioural interview with the Product Lead.
  • Technical interview with the team covering product execution, ML collaboration, engineering, and a model- or forecast-based product decision.
  • Final culture-add interview with cross-functional stakeholders; the process typically takes 2–3 weeks.

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