Senior Product Manager - Editor Decision Support

Are you passionate about building AI-enabled products that help editors make better, faster, and more transparent decisions?

Do you enjoy working at the intersection of product strategy, scientific publishing, data science, and technology to deliver meaningful impact for global research communities?

About our team

Our team supports the editorial workflows of the largest scientific publisher in the world — millions of manuscript submissions a year, a portfolio of thousands of journals, and tens of thousands of editors. As submission volume grows, we modernise editorial processes, so they scale without compromising the integrity of the scientific record. We are a cross-functional, evidence-led team of engineers, UX, data scientists, product analysts and subject‑matter experts, and we work to a simple standard: everything we do is grounded in user needs, and we use evidence to make commercially driven priority decisions.

About the role

This role owns a specific, high‑value challenge: deep evaluation after peer review — the stage where an editor reads the reviewer reports and decides to accept, reject, or request revision, and ensure the manuscript reaches the publication standard. It is the most time‑intensive stage in the workflow and the peak of editorial cognitive load and perceived editorial risk.

We are looking for a Senior Product Manager with deep product judgement to own the strategy, vision and roadmap for editorial decision support at the post‑peer‑review stage. As a product manager for Elsevier’s global Submissions, you will enable growth of knowledge, research and innovation for our researcher community.

You will work within the wider publishing experience. You will help define the path from today’s manual workflow through system‑guided support. You will work closely with an embedded data science team to commission and interpret evaluations of decision‑support response accuracy, relevance and trust, and partner with the teams that own peer‑review analytics and the wider Editor experience pipeline. We’re looking for a Product Manager who stays close to the technology and can reason about how the AI behaves, how it is evaluated, and where the trade‑offs lie — while remaining, first and foremost, a product manager rather than an engineer or data scientists.

You will be part of a squad of engineers, UX, subject‑matter experts and analysts to create a state‑of‑the‑art user experience for article publication. Strong collaboration with stakeholders in Technology, Operations and Publishing will grow trust & build alignment. Creating solutions that are data‑driven will contribute to our innovative culture for our digital submission products and services. You will inspire authors to return to Elsevier for the best experience from submission to trusted publication.

Role Responsibilities

• Owning, defining and driving the product vision, strategy, and roadmap for editorial decision‑support solutions in the post‑peer‑review process.
• Leading delivery within a cross‑functional agile team, managing priorities, maintaining a healthy backlog, and ensuring consistent product delivery.
• Partnering with scientific editors to understand decision‑making challenges, gather user insights, and translate findings into impactful product improvements.
• Championing evidence‑based decision‑making through qualitative and quantitative research, analytics, experimentation, and clear success metrics.
• Collaborating with data science teams to evaluate AI‑driven capabilities, including review synthesis, contradiction detection, and evidence linking, and using findings to prioritise enhancements.
• Measuring product success through business and user outcomes, defining KPIs and OKRs, communicating value, and assessing build, buy, or partner options.
• Working with engineering and technical teams to balance product, technical, and architectural considerations.
• Ensuring products support transparency, accountability, and responsible use of AI, with appropriate human oversight and auditability.
• Aligning stakeholders across Publishing, Technology, Operations, Editorial Strategy, and Research Integrity to build shared understanding and support.
• Supporting go‑to‑market activities, product launches, customer adoption, and migration planning.

Skills & Requirements:

• Significant product management experience, including ownership of product strategy, roadmap development, and delivery. Experience with Spec‑Driven Development (SDD) is beneficial but not essential.
• Strong product judgment and the ability to define complex problems, evaluate trade‑offs, and focus on user outcomes.
• Demonstrated experience working with AI and machine learning products, including generative AI, retrieval‑augmented generation (RAG), or agent‑based workflows.
• Strong analytical skills and experience using data, experimentation, and research to inform decisions in uncertain or evolving environments.
• Experience leading product initiatives within cross‑functional teams and delivering outcomes in complex settings.
• Experience collaborating with data scientists and translating model evaluations and insights into product decisions.
• An understanding of technical concepts and architectural trade‑offs, with the ability to work effectively alongside engineering teams. Experience prototyping with AI tools is helpful but not required.
• Excellent communication and stakeholder management skills, with the ability to engage technical and non‑technical audiences.
• Commercial awareness and an understanding of how product decisions contribute to organisational goals and customer value.
• Familiarity with scholarly publishing, editorial workflows, peer review, or research integrity is advantageous but not required.

Work in a Way That Works for You

• We promote a healthy work/life balance across the organisation.
• We offer an appealing working prospect for our people.
• With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals.
• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

About the Business

A global leader in information and analytics, we help researchers and healthcare professionals’ advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world

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