Senior Product Manager - Editorial Decision Support at Elsevier

Are you passionate about building AI-enabled products that assist editors in making better, faster, and more transparent decisions? Do you thrive at the intersection of product strategy, scientific publishing, data science, and technology to deliver meaningful impact for global research communities? This role focuses on a critical challenge: deep evaluation after peer review, where editors assess reviewer reports to decide on manuscript acceptance, rejection, or revision, ensuring publication standards are met. We are seeking a Senior Product Manager with strong product judgment to define the strategy, vision, and roadmap for editorial decision support at the post-peer-review stage. You will enable knowledge growth, research, and innovation for our researcher community while working within the broader publishing experience. Collaborate closely with an embedded data science team to evaluate decision-support response accuracy and relevance, and partner with teams handling peer-review analytics and the wider editor experience pipeline. As a product manager, you will maintain a close relationship with technology, understanding AI behavior and its evaluations while focusing on product management rather than engineering or data science. You will be part of a cross-functional squad of engineers, UX designers, subject-matter experts, and analysts to create a top-notch user experience for article publication, fostering strong collaboration with stakeholders in Technology, Operations, and Publishing to build trust and alignment. Your data-driven solutions will contribute to our innovative culture for digital submission products and services, inspiring authors to choose Elsevier for an exceptional experience from submission to trusted publication.

About the Team

Our team supports the editorial workflows of the largest scientific publisher globally, managing millions of manuscript submissions annually across thousands of journals with tens of thousands of editors. As submission volumes rise, we modernize editorial processes to scale effectively without compromising the scientific record's integrity. We are a cross-functional, evidence-led team of engineers, UX designers, data scientists, product analysts, and subject-matter experts, committed to user needs and evidence-based priority decisions.

Role Responsibilities

Own, define, and drive the product vision, strategy, and roadmap for editorial decision-support solutions in the post-peer-review process.
Lead delivery within a cross-functional agile team, managing priorities, maintaining a healthy backlog, and ensuring consistent product delivery.
Partner with scientific editors to understand decision-making challenges, gather user insights, and translate findings into impactful product improvements.
Champion evidence-based decision-making through qualitative and quantitative research, analytics, experimentation, and clear success metrics.
Collaborate with data science teams to evaluate AI-driven capabilities, including review synthesis, contradiction detection, and evidence linking, and prioritize enhancements based on findings.
Measure product success through business and user outcomes, defining KPIs and OKRs, communicating value, and assessing build, buy, or partner options.
Work with engineering and technical teams to balance product, technical, and architectural considerations.
Ensure products support transparency, accountability, and responsible AI use with appropriate human oversight and auditability.
Align stakeholders across Publishing, Technology, Operations, Editorial Strategy, and Research Integrity to build shared understanding and support.
Support 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 with 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 understanding of how product decisions contribute to organizational 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 organization, offering appealing working prospects for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we support your immediate responsibilities and long-term goals.

Working Pattern

Enjoy flexible working hours, allowing you to adjust your schedule to fit everything in and work when you are most productive.

About the Business

As 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 for a better world.

If performed in NLD Amsterdam (Radarweg), the base pay range is €100,400 - €167,300. This job may be subject to a collective labor agreement in the Netherlands. Please consult with the hiring team for further details. We prioritize your well-being and happiness for a long and successful career. We are pleased to offer country-specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or contact us at 1-855-833-5120. Be cautious of criminals posing as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.