In this role you will define and deliver the strategy for machine and AI access to ScienceDirect content. You will collaborate with product, technology, legal, and commercial teams to govern, measure, and monetize AI-enabled access. You will translate strategy into a product roadmap, lead delivery with engineering, and validate use cases through pilots and customer discovery. You shape entitlement models and access tiers while tracking value creation from machine usage. This is an opportunity to influence how researchers access trusted content at scale in a mission-driven, data-driven environment.
Pay / Benefits
wellbeing initiatives
shared parental leave
study assistance
sabbaticals
flexible hours
Responsibilities
Develop and maintain a strategy for machine and AI access to Elsevier’s content, identify viable use cases, and build stakeholder alignment
Translate strategy into a product roadmap and lead delivery with engineering, selecting delivery mechanisms (APIs, agent connectors) for each use case
Lead customer discovery and controlled pilots to validate machine-to-machine use cases and create requirements and business cases
Collaborate with legal, commercial, and technology teams to shape entitlement models and access tiers (entitlement, identity, metering, versioning, revocation)
Contribute to how machine usage is measured and reported to reflect full text value for customers
Monitor competitive and substitution landscape across open infrastructure, publisher gateways, aggregators, and AI platforms; feed insights into strategy decisions
Key requirements
Proven digital product management with high standards and clear prioritization
Data-driven decision making using experiments and analysis
Experience owning API, data or developer-facing products and shipping them with engineering teams
Ability to articulate between technical and commercial audiences; work with architects/engineers on data formats and delivery mechanisms
Experience with licensing, entitlement, packaging or pricing models is advantageous
Familiarity with AI content consumption (e.g., retrieval-augmented generation, agents, text and data mining) is a plus
Excellent communication skills; ability to influence and align cross-functional stakeholders without direct authority
Research or scientific background or understanding of scientists' needs is a plus
Superb verbal and written communication
Collaborative mindset and cross-functional teamwork
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