Senior AI Editorial Product Manager

Elsevier

Greater London

Hybrid

GBP 90,000 - 120,000

Full time

6 days ago
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Benefits offered by this job

Flexible hours
Parental leave
Study assistance
Sabbaticals
Wellbeing initiatives

Job summary

Elsevier is seeking a Senior Product Manager to own the strategy for editorial decision support at the post-peer‑review stage. You will lead a cross‑functional squad of engineers, UX, data scientists and editors to advance AI-enabled decision tools while balancing transparency and governance.

You will collaborate with Publishing, Technology, Operations and Research Integrity to drive data-driven improvements and measurable outcomes for researchers worldwide.

Qualifications

  • Significant product management experience with strategy, roadmap and delivery.
  • Strong product judgment and ability to define complex problems.
  • Experience with AI/ML products including generative AI or RAG.
  • Strong analytical skills using data, experimentation and research.

Responsibilities

  • Own the product vision, strategy and roadmap for editorial decision-support post‑peer‑review.
  • Lead delivery within a cross‑functional agile team with a healthy backlog.
  • Partner with editors to understand challenges and translate findings into improvements.
  • Champion evidence-based decision‑making with research and analytics.
  • Collaborate with data science to evaluate AI-driven capabilities and enhancements.
  • Define KPIs/OKRs and assess build, buy, or partner options.
  • Balance product and technical considerations with engineering teams.
  • Ensure transparency, accountability and responsible AI use with oversight.

Skills

Product management
Strategy development
AI product experience
Data-driven decision making
Stakeholder management

Job description

Elsevier is seeking a Senior Product Manager to own the strategy for editorial decision support at the post-peer‑review stage. You will lead a cross‑functional squad of engineers, UX, data scientists and editors to advance AI-enabled decision tools while balancing transparency and governance.

You will collaborate with Publishing, Technology, Operations and Research Integrity to drive data-driven improvements and measurable outcomes for researchers worldwide.

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