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6 дней назад

AI Product Owner

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Product Owner (Fintech/lending): Define, deliver and manage AI-enabled lending products across origination, underwriting and operational workflows with an accent on product lifecycle ownership, automation and responsible AI governance. Focus on building verified ground-truth datasets, prototyping agentic solutions, measuring accuracy and outcomes, and leading a cross-functional team through launch and adoption.

Location: London Office, hybrid working in the United Kingdom

Company

hirify.global is a UK fintech focused on providing relationship-based banking and technology solutions for established small and medium-sized businesses.

What you will do

  • Define, deliver and manage AI-enabled lending products across origination, underwriting and operational workflows.
  • Own the product roadmap and full lifecycle from discovery and design through delivery, launch, adoption and live-product risk management.
  • Lead a small cross-functional team including full-stack engineering and AI specialists.
  • Prototype and experiment rapidly, including building working prototypes that can be hardened for production.
  • Analyse data, create verified ground-truth datasets and assess the accuracy and performance of AI solutions.
  • Lead stakeholder briefings, user training, feedback loops and governance approvals covering risk, security, cost, data and legal considerations.

Requirements

  • Knowledge of commercial lending origination and underwriting processes, principles and systems.
  • Experience delivering agentic and data-driven products into live use in a fast-moving or high-growth business.
  • Hands-on familiarity with Python, SQL, data analytics tools, LLM tooling, prompt engineering and AI orchestration.
  • Strong process design, implementation, automation, analytical and business skills.
  • Understanding of privacy, safety, accuracy monitoring and responsible use of LLMs in production, ideally in a regulated environment.
  • Experience working with or leading product and engineering teams, including line management, coaching and development.

Culture & Benefits

  • Flexible and hybrid working options.
  • Full onboarding support and continued development opportunities.
  • Pension contributions, private health cover and life assurance.
  • Discretionary bonus scheme.
  • Family-friendly policies, including enhanced maternity and paternity leave.
  • Regular social activities.

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