Are you excited to shape how AI systems, autonomous agents, and machine-driven workflows access and create value from world-leading scientific content?
Do you enjoy turning complex strategic questions into high-impact products that balance customer needs, technology, commercial opportunities, and governance considerations?
About our Team
ScienceDirect is Elsevier's flagship research discovery platform, home to more than 22 million publications across over 4,000 journals and 50,000 books. Researchers, clinicians, students and institutions around the world rely on it to find and use trusted, peer-reviewed science.
We are a data-driven, mission-driven, customer-focused team who are passionate about building solutions that solve our users' problems. We are curious, collaborative, reliable partners who work in an open environment to explore new possibilities to bring more value to the market.
About the Role
A growing share of the demand for scientific content comes from software rather than people. As a Senior Product Manager, you will help define and deliver the strategy for machine and AI access to ScienceDirect content, identifying valuable use cases and translating them into scalable products and services. You will work across product, technology, legal, and commercial teams to shape how content is accessed, governed, measured, and monetized in an evolving AI ecosystem.
Responsibilities
Play a key role in developing and maintaining the strategy for machine and AI access to Elsevier’s full content, recommending which use cases we should serve and which we should not, and building the evidence and stakeholder alignment behind those recommendations
Translate the agreed strategy into a product roadmap and lead its delivery with engineering, from discovery through to launch, selecting the right delivery mechanism (APIs, agent connectors, etc) for each use case
Lead customer discovery and controlled pilots to validate machine-to-to machine use cases and value exchange, turning what we learn into requirements and business cases
Work with legal, commercial, product and technology colleagues to shape the entitlement model and access tiers for machine use, covering entitlement, identity, metering, versioning and the ability to revoke access
Contribute to how machine usage and the value it creates are measured and reported, reflecting full text value for customers
Keep a current view of the competitive and substitution landscape across open infrastructure, publisher gateways, aggregators and AI platforms, and bring that insight into product and strategy decisions
Requirements
Proven digital product management competencies, operating at high standards, especially excelling at assessing difficult trade-offs and setting clear priorities for the product roadmap to deliver maximum value
Ability to use data and experiments to drive decision making
Experience owning API, data or developer-facing products, and a track record of shipping them successfully with engineering teams
Comfortable working with architects and engineers on data formats, content structure and delivery mechanisms, and able to translate between technical and commercial audiences
Experience contributing to commercial models such as licensing, entitlement, packaging or pricing is an advantage
Familiarity with how AI applications consume content, for example retrieval-augmented generation, agents, or text and data mining, is a plus
Superb verbal, written, and interpersonal communication skills and a demonstrated ability to collaborate with others to achieve productive results
Proven ability to influence and align stakeholders across functions without direct authority
A research or scientific background, or a strong understanding of the needs of scientists, researchers or students, is a plus
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 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.
If performed in NLD Amsterdam (Radarweg), the base pay range is €79,000 - €131,500. This job may be subject to a collective labor agreement in the Netherlands. Please consult with the hiring team for further details.We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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Skills Required
- Proven digital product management experience, including evaluating trade-offs and prioritizing roadmaps for maximum value
- Ability to use data and experiments to drive decision-making
- Experience owning API, data, or developer-facing products and successfully shipping them with engineering teams
- Ability to collaborate with architects and engineers on data formats, content structure, and delivery mechanisms
- Ability to translate between technical and commercial audiences
- Strong verbal, written, and interpersonal communication skills
- Ability to influence and align cross-functional stakeholders without direct authority
- Experience contributing to commercial models such as licensing, entitlement, packaging, or pricing
- Familiarity with AI applications consuming content, including retrieval-augmented generation, agents, or text and data mining
- Research or scientific background, or strong understanding of scientists’, researchers’, or students’ needs
Elsevier Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Elsevier and has not been reviewed or approved by Elsevier.
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Leave & Time Off Breadth — Feedback suggests paid time off spans vacation, holidays, sick days, bereavement, military leave, and volunteer time. Family-related leave options are also emphasized as part of the package.
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Healthcare Strength — Feedback suggests medical, dental, vision, life insurance, wellness initiatives, and an EAP form a comprehensive health offering. Gym support and wellbeing hubs reinforce an ongoing health and wellness focus.
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Retirement Support — Feedback suggests retirement programs include a 401(k)/retirement plan and pension options, with long-term savings vehicles such as an employee stock purchase plan also available. These elements contribute to a sense of financial security beyond base pay.
Elsevier Insights
What We Do
Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care. Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems. Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.
