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About the Role
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
- Proven ability to influence and align stakeholders across functions without direct authority
Skills
- 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
- Demonstrated ability to collaborate with others to achieve productive results
- A research or scientific background, or a strong understanding of the needs of scientists, researchers or students, is a plus
Location
- NLD Amsterdam (Radarweg)
Work Type
- Working flexible hours
Experience Level
- Senior
Salary/Compensations
- €79,000 - €131,500
Benefits
- Numerous wellbeing initiatives
- Shared parental leave
- Study assistance
- Sabbaticals
- Country specific benefits
About the Company
- 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.
Equal Opportunity
- 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 please contact 1-855-833-5120.
- 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.