Назад
Company hidden
4 дня назад

Senior Product Manager (AI)

100 400 - 167 300€
Формат работы
onsite
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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Описание вакансии

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TL;DR
Senior Product Manager (AI): Owns the strategy, roadmap, and delivery of AI-enabled decision-support products for scientific editors after peer review with an accent on product judgment, model evaluation, and responsible AI. Focus on translating data-science findings into product decisions, improving review synthesis and contradiction detection, and building transparent, auditable editorial workflows.

Location: London Wall, London, United Kingdom

Base pay in Amsterdam, Netherlands: €100,400–€167,300 annually.

Company

hirify.global provides information, analytics, publishing, and technology products supporting researchers, healthcare professionals, science, and education.

What you will do

  • Own the product vision, strategy, and roadmap for editorial decision-support solutions after peer review.
  • Lead delivery in a cross-functional agile squad, managing priorities, backlog health, and product releases.
  • Partner with scientific editors to understand decision-making challenges and translate insights into product improvements.
  • Collaborate with data scientists to evaluate AI capabilities such as review synthesis, contradiction detection, and evidence linking.
  • Define KPIs and OKRs, run research and experimentation, and assess build, buy, or partner options.
  • Ensure transparency, accountability, human oversight, and auditability while aligning Publishing, Technology, Operations, and Research Integrity stakeholders.

Requirements

  • Significant product management experience covering product strategy, roadmap development, and delivery.
  • Experience working with AI and machine learning products, including generative AI, retrieval-augmented generation, or agent-based workflows.
  • Strong analytical, research, experimentation, communication, and stakeholder management skills.
  • Experience collaborating with data scientists and translating model evaluations into product decisions.
  • Understanding of technical concepts and architectural trade-offs, with the ability to work effectively with engineering teams.
  • Experience in scholarly publishing, editorial workflows, peer review, or research integrity is advantageous but not required.

Culture & Benefits

  • Cross-functional, evidence-led environment with engineers, UX specialists, data scientists, analysts, and subject-matter experts.
  • Flexible working hours to support individual productivity and work-life balance.
  • Wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.
  • Country-specific benefits and support for long-term professional development.

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