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6 дней назад

Senior Product Manager (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Senior Product Manager (AI): Owning strategic sustainability and risk use cases end-to-end, from customer problem discovery and data requirements through AI prototyping, roadmap, launch, and market outcomes with an accent on B2B enterprise SaaS, customer engagement, and cross-functional product delivery. Focus on building AI-assisted workflows, validating solutions with customers, driving engineering execution, and making data-informed persist, pivot, or stop decisions.

Location: London, UK; hybrid work with 2 office days per week. Remote work from abroad is supported under company policy.

Company

hirify.global provides business sustainability ratings, data analysis, and sustainability scorecards that help companies identify environmental, social, and ethical risks.

What you will do

  • Own the end-to-end vision for a strategic use case, including regulatory due diligence, human rights due diligence, decarbonization, or resilience.
  • Research customer and competitor solutions, define requirements, identify product gaps, and set the roadmap from parity to leadership.
  • Engage buyers, program owners, co-development accounts, customers, and prospects to validate problems and solutions.
  • Use AI prototyping tools, LLM APIs, and lightweight services to test assumptions and demonstrate possible solutions.
  • Work with engineering, product teams, tribes, and squads to drive delivery across product and platform areas.
  • Define success measures, support go-to-market with strategic use case leads and commercial teams, and lead persist, pivot, or stop decisions.

Requirements

  • Typically 10+ years of experience, including end-to-end ownership of a meaningful product area in B2B enterprise SaaS.
  • Demonstrated business and customer outcomes from owned products.
  • Technical fluency sufficient to prototype with AI tooling, LLM APIs, and Python, JavaScript, or an equivalent scripting language.
  • AI-native working practices integrated into discovery, analysis, prototyping, instrumentation, and communication.
  • Comfort working in a regulated, data-rich, sustainability, or risk domain, or the ability to learn such a domain quickly.
  • Strong problem framing and communication skills, with the ability to provide recommendations and reduce ambiguity for engineering and design.
  • Fluent English as the primary working language.

Culture & Benefits

  • Flexible working hours and hybrid work organization.
  • Office and IT equipment support, internet and electricity bill allowance, and subsidized travel in London.
  • Wellness allowance, professional mental health support, optional private health coverage, pension contributions, and life insurance.
  • Learning and development, peer recognition, employee-led resource groups, sustainability events, and community involvement.
  • Referral bonus policy, cycle to work scheme, and a community service day for volunteering.
  • Inclusive hiring practices, reasonable adjustments during recruitment, and a remote work from abroad policy.

Hiring process

  • Submit a resume in English; every application receives a response.
  • Interview adjustments are available, including interview questions in advance.
  • Recruitment uses human-reviewed assessment and interview-support tools.

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