Jobs at Elsevier

Build and productionize agentic AI solutions: design and implement RAG pipelines, tool-augmented agents, retrieval and observability, integrate AI into enterprise systems, apply CI/CD and testing, mentor junior engineers, and deliver reusable reference implementations.

The Account Manager will collaborate with key stakeholders in academic and research settings to enhance client satisfaction, achieve revenue targets, and develop strategic account plans while managing relationships for technology and solutions sales.

Seeking a Senior Software Engineer specializing in JavaScript, React, and Node.js to develop modern web applications and utilize AI in development workflows.

Identify and qualify new business opportunities through high-volume outreach (phone, email, LinkedIn), research targets, engage prospects, document pre-sales information, coordinate with marketing and account executives, and build a pipeline of qualified meetings and demos.

Sell Elsevier's ClinicalKey clinical search engine to hospitals, health systems, medical schools, and home health providers. Prospect, build account plans, demo remotely, manage CRM data, forecast pipeline, collaborate with internal teams, and meet/exceed quota with up to 40% travel.

The Web Governance Specialist ensures content quality on Elsevier.com by monitoring compliance with governance standards, reviewing content structure, and improving user pathways through collaboration and issue resolution.

Leads technical execution for an embedded AI innovation squad, taking prototypes from discovery through production. Designs reusable agentic AI architectures covering orchestration, tool use, memory, retrieval, integrations, security, and governance. Works with stakeholders to define requirements, makes architecture decisions, develops reference implementations, and establishes measurable outcomes. Provides infrastructure and budget recommendations, resolves complex technical issues, manages delivery dependencies, serves as the primary AI and coding expert, and mentors engineers while evaluating emerging technologies.

Build and deploy production-grade AI solutions, including RAG pipelines, tool-augmented agents, and agentic workflows. Integrate AI capabilities with enterprise systems, implement evaluation, observability, guardrails, and outcome measurement, and maintain reusable, high-quality code. Collaborate with technical peers and business stakeholders, identify risks, deliver validated solutions in short cycles, and support handover and capability-building for ongoing operational ownership.

Hunter-focused sales role to generate new business across hospitals, healthcare institutions, medical schools, and universities in Mexico and Central America by prospecting, positioning Elsevier clinical and medical education solutions, navigating complex B2B sales cycles, and collaborating with internal teams to support customer success and account growth.

The Quality Test Engineer III is responsible for leading quality engineering practices, developing automated test solutions, defining test strategies, and mentoring team members to enhance product quality in a collaborative environment.

Lead SSRN's brand, positioning, and community engagement across global research communities. Develop communications and rebranding plans, manage social media via Sprinklr, run the SSRN blog editorial calendar, liaise with internal stakeholders, promote policy and partnership initiatives, and use performance insights to inform content strategy and outreach.

Design, build, and operate scalable backend integration services and APIs. Configure and manage Kong API Gateway via declarative YAML and CI/CD. Implement FHIR data facades, backend integrations (REST/gRPC/messaging), OpenAPI-driven lifecycle, automated testing, and secure service-to-service auth (OAuth2/OIDC). Deploy and operate containerized cloud services with observability and reliability patterns.

Lead development and deployment of ML and LLM-based solutions, oversee end-to-end data science projects, design production-ready Python libraries and pipelines, implement monitoring and automated retraining, evaluate model performance, and mentor junior data scientists while collaborating with cross-functional teams.

Develop and support Salesforce CRM solutions for global sales and business teams. Responsibilities include real-time user support, business analysis, requirements evaluation, integration monitoring and troubleshooting, documentation, UAT support, process improvement, and phased development. The role serves as a Salesforce subject matter expert, ensuring scalable, reliable, user-focused solutions aligned with Sales and Marketing objectives.

Leads AI and data science strategy across machine learning, NLP, search, recommendation, experimentation, and generative AI. Manages technical teams, develops talent, and oversees AI systems from experimentation through production. Builds LLM, RAG, semantic search, and knowledge-discovery solutions; establishes evaluation frameworks, quality metrics, experimentation practices, and responsible AI standards. Partners with product, technology, and business leaders to shape roadmaps and deliver measurable customer and business outcomes.

Design, build, and maintain scalable dbt-based data models and analytics-ready datasets for IT and multi-cloud infrastructure. Translate business requirements into robust transformations, ensure data quality/testing, collaborate with data engineers and analysts, lead end-to-end analytics initiatives, and contribute to analytics architecture and documentation.

Evaluate submissions for scientific quality and significance, shape the journals editorial direction, coordinate special issues, expand researcher networks and recruit submissions, identify manuscripts for transfer across Cell Press, represent and promote Device at conferences and institutes, and collaborate with sales, marketing, production, and other editorial teams to grow the journal.

Designs, builds, and maintains scalable data pipelines, transformations, data models, and analytical solutions using Snowflake and dbt. Collaborates with product owners, database architects, and analysts to translate requirements into technical solutions. Responsibilities include code reviews, performance optimization, data quality and reliability improvements, and evaluating emerging technologies such as AI and LLMs. The role also applies SQL, CI/CD, cloud services, orchestration, infrastructure-as-code, and programming skills across sales and marketing data platforms.

Lead strategy and execution for a SaaS product portfolio in Academic and Government Solutions. Define vision, roadmap, and KPIs; drive discovery, research, data-driven decisions, go-to-market, and commercial outcomes. Build and develop a high-performing product management team and collaborate cross-functionally with engineering, data science, UX, sales, and customer success to maximise customer value and business growth.

Design, develop and deploy cloud-hosted, distributed full-stack applications supporting manuscript transfer. Collaborate with stakeholders and cross-functional Agile/DevOps teams, contribute to architecture, improve delivery processes, and apply test-driven development and automated testing.