4 дня назад
Senior Product Manager (AI)
100 400 - 167 300€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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