Elsevier Tech Stack
Mission-critical research, analytics, and clinical intelligence for enterprises
Elsevier is a 140-year-old information services company serving researchers, clinicians, and institutions globally. The stack spans SQL, Python, Salesforce, Power BI, and cloud (AWS, Azure, GCP), with active adoption of RAG, LangGraph, and API platforms—indicating a pivot toward AI-assisted search and retrieval. Hiring is engineering-heavy (152 roles) with acceleration in data and product teams, while active projects target vector-based retrieval and analytics infrastructure, suggesting a major effort to improve discovery and model evaluation across their research and clinical products.
Tech Stack 200 technologies
What Elsevier Is Building
◆Challenges
- Retention and renewal uplift
- Identifying growth opportunities
- Improving search and discovery experience
- Expanding business
- Upsell and cross selling opportunities
- Driving growth in electronic sales
- Identifying grc risks
- Performance bottlenecks
- Unmet customer needs
- Customer churn risk
▲Active Projects
- Cloud infrastructure in aws
- Go-to-market strategy
- Country marketing plan
- Nursing health education web application
- Leapspace
- Vector-based hybrid retrieval architecture
- Analytics roadmap for model evaluation
- Product onboarding
- Policy- and standards-driven cybersecurity governance program
- Euc solution implementation
Hiring Activity
Department
Seniority
Notable leadership hires: Head of Marketing, Editor in Chief, Software Engineering Lead, Technology Engagement Lead, Product Director
