Jobs at Elsevier

Develop and enhance trade and commercial reporting solutions using Snowflake, Tableau, and related BI tools. Modernize manual and legacy reporting workflows into automated dashboards and scalable analytical solutions. Translate queries and business rules across data platforms, validate reporting accuracy, investigate discrepancies, document workflows, and partner with commercial and senior stakeholders to deliver actionable insights.

Leads regional solution sales across Northern Europe, driving new business, renewals, upselling, cross-selling, forecasting, and revenue growth. Manages, coaches, and develops Solution Account Managers while overseeing account planning, complex negotiations, and senior customer relationships. Partners with Customer Success, Product, Marketing, Finance, Pricing, and Sales leadership in an international matrixed organization. Requires significant B2B technology or complex-solutions sales experience, strong commercial judgment, and demonstrated people leadership.

Lead and develop a data science team building production AI systems using machine learning, retrieval, ranking, and large language models. Set technical strategy, oversee experimentation and deployment, establish evaluation and responsible AI practices, manage team capacity, recruit talent, and partner with product and engineering. Guide scalable, reliable solutions from problem framing through monitoring and iteration while communicating trade-offs and business impact to technical and non-technical stakeholders.

Provides technical leadership across data science teams developing AI, NLP, machine learning, generative AI, LLM, RAG, retrieval, ranking, and recommendation solutions. Establishes architecture, engineering standards, evaluation and monitoring frameworks, governance, and compliance practices. Mentors teams, conducts technical reviews, guides high-risk implementations, and represents data science with senior stakeholders. The role requires strong Python and machine learning expertise, experience with text-rich datasets and search systems, and the ability to influence technical strategy across multiple teams.

Develop and evaluate applied AI capabilities for Elsevier’s LeapSpace research assistant. Responsibilities include building LLM-powered workflows, RAG and search pipelines, agentic systems, evaluation frameworks, experimentation methods, and semantic discovery tools. The role requires collaboration with engineering, product, UX, and scientific domain experts to productionize trustworthy AI solutions.

Build and ship production-grade AI features, including RAG pipelines, tool-augmented agents, and agentic workflows. Integrate AI capabilities into enterprise systems, contribute to evaluation, observability, guardrails, and outcome measurement, and maintain reusable technical patterns. Collaborate with stakeholders to ensure solutions fit real workflows, identify risks, complete bug fixes, document implementations, and support handover and capability-building.

Manage post-sales customer relationships for Elsevier solutions, leading onboarding, enablement, adoption, training, value realization, retention, renewals, and expansion. Serve as a trusted advisor, demonstrate ROI, identify upsell and cross-sell opportunities, gather customer feedback, and collaborate with Sales, Account Support, product, implementation, and training teams.

Design, develop, and lead scalable generative AI services and reusable platform components using Python and Java. Drive architecture, engineering standards, distributed systems design, Kubernetes-based deployment, observability, testing, and CI/CD. Collaborate with product, platform, and research teams to productionize AI prototypes, resolve complex technical challenges, mentor engineers, and promote responsible AI integration.

Develop and deploy scalable document intelligence services that transform scientific manuscripts into structured data using distributed systems, microservices, event-driven architecture, AWS, data science, and AI/LLM capabilities. Responsibilities include architecture, implementation, deployment, observability, operational support, continuous improvement, stakeholder collaboration, Agile and DevOps practices, mentoring, and improving automated content processing and editorial experiences.

Prepares, drafts, edits, negotiates, executes, and administers customer contracts for clinical technology solutions. Maintains CRM and contract databases, supports compliance and approvals, responds to customer contract questions, produces reports, and coordinates among Sales, Contracts, customers, and internal stakeholders. The role also manages contract lifecycles, handles redlines, and ensures accurate financial reporting and invoice generation.

Leads complex cloud infrastructure, automation, modernization, and troubleshooting initiatives. Designs resilient architecture, owns technical execution plans, conducts root-cause analysis, improves observability and operational practices, and mentors junior systems engineers. Collaborates with architecture, security, product, and FinOps stakeholders to deliver reliable cloud and containerized platforms.

Own analytics product initiatives from discovery through launch and iteration. Define user needs, prioritize opportunities, write requirements, and collaborate with Engineering, Data Science, UX, and business teams. Use analytics and AI to improve workflows and decision-making while considering data quality, privacy, transparency, and trust. Track adoption and impact to guide ongoing product improvements.

A 24-month rotational graduate program across publishing operations, product and digital innovation, and commercial customer insight. Participants lead process improvement, support AI-enabled workflows, analyze user journeys and market trends, evaluate performance data, and develop growth recommendations. The role is based in Amsterdam with at least two office days per week and may lead to a permanent position after completion.

Build and maintain dbt models, semantic layers, data quality systems, and AI agents supporting marketing dashboards and decision-making. Develop evaluation frameworks, UAT environments, and production release processes for AI products. Partner with marketers, Data Ops, and technology teams to translate business questions into reliable data solutions, while documenting systems and maintaining engineering standards.

Owns product features, development plans, prioritization, customer requirements, and product lifecycle execution. Uses customer, market, revenue, and product data to guide decisions, conduct analysis, and evaluate hypotheses. Supports go-to-market planning, launches, sales enablement, and stakeholder demonstrations. Develops product strategy, business cases, budgets, prototypes, documentation, and technical approaches while collaborating with engineering, design, sales, customer success, and external customers. The role also involves incorporating AI-driven capabilities into product strategy and requirements.

Directs sales expansion for Research Intelligence solutions, securing new academic customers and growing existing accounts. Develops go-to-market and account strategies, applies consultative complex-solution selling, achieves bookings targets, maintains Salesforce forecasts, gathers market insights, and represents the portfolio at industry events. The role requires experience selling enterprise software and Elsevier Research Intelligence solutions to academic and research institutions.

Lead content partnership marketing for LeapSpace by developing value propositions, messaging frameworks, co-marketing programs, partner approvals, promotional campaigns, and sales enablement assets. Collaborate with Product, Legal, Communications, Sales, partner stakeholders, and regional marketing teams to ensure consistent, compliant, customer-focused positioning. Manage partner relationships, global initiatives, announcements, events, webinars, collateral, training materials, and post-launch go-to-market priorities in a matrixed AI and research technology environment.

Leads China field marketing strategy and execution for Elsevier’s Research Intelligence portfolio. Responsibilities include regional campaign planning, audience segmentation, demand generation, events, webinars, account-based marketing, partnerships, sales enablement, customer engagement, budget management, and performance measurement. The role partners with sales, customer success, product, and global marketing teams to generate pipeline, accelerate opportunities, strengthen customer relationships, and optimize campaigns across academic and government segments.

Partners with senior leaders across Operations and Global Functions to drive budgeting, forecasting, performance analysis, cost management, scenario planning, and financial decision support. Translates operational and financial data into actionable insights, models transformation and AI-enabled workflow impacts, improves cost transparency and productivity, and ensures strong financial governance, reporting accuracy, and accountability.

Manage and grow Elsevier’s Research Intelligence portfolio across the Middle East and Africa. Own renewals, cross-sell and upsell opportunities, negotiate contracts, coordinate with Sales, Finance, Legal, Customer Success, Product, and Operations, maintain CRM and sales data, build customer relationships, support marketing initiatives, and achieve renewal and new business targets.