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RELX

Technical Pre-Sales Consultant, Professional Services

RELX

. Develop and maintain expertise in Elsevier’s curated datasets, data APIs, integration options, MCP servers, AI agents, and SciBite semantic solutions .

Posted 10/23/2026full-timeRemote • United StatesMid-LevelSenior💰 $72,200 - $120,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data-driven analytics workflows and the application of Generative AI solutions, with a strong ability to translate complex business challenges into actionable data-driven use cases and solution architectures. Proficient in delivering tailored technical demonstrations and collaborating effectively with cross-functional teams to drive customer success.

Highest-signal resume keywords
Data-Driven Analytics WorkflowsGenerative AI SolutionsTechnical DemonstrationsCloud Ecosystems (AWS)Stakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data IngestionData EnrichmentData IntegrationInsight GenerationPrompt DesignNEROntologiesTaxonomiesKnowledge GraphsPython
Soft Skills
Excellent CommunicationStorytellingConfidence in Technical DiscussionsStakeholder ManagementAdaptability
Tools & Technologies
REST APIsSFTPHTTPOAuthDockerLLM APIsMCP
Industry Keywords
Data GovernanceAI PlatformsData-Intensive EnvironmentsPharmaLife Sciences

Tech Stack

Tools & technologies
AWSCloudDockerPython

About the role

Key responsibilities & impact
  • Develop and maintain expertise in Elsevier’s curated datasets, data APIs, integration options, MCP servers, AI agents, and SciBite semantic solutions
  • Lead technical discovery to understand customer objectives, analytical workflows, data landscapes, and success criteria
  • Translate business and scientific challenges into data-driven use cases, solution architectures, and value narratives
  • Design and deliver tailored solution demonstrations
  • Scope and prepare solution proposals
  • Support proof-of-concepts, technical evaluations, and pilots
  • Articulate technical trade-offs, assumptions, and dependencies across data, software, and services
  • Act as a trusted technical advisor throughout the sales cycle
  • Support account strategy, solution positioning, and competitive differentiation
  • Advise customers on applying AI developments with Elsevier data
  • Use AI tools to improve the speed and quality of demos, proposals, and PoCs
  • Validate solution feasibility with Product and Professional Services teams
  • Capture customer feedback and market insights to inform product positioning, roadmap priorities, and go-to-market strategy
  • Collaborate with Sales, post-sales, Professional Services, Product, and Marketing teams

Requirements

What you’ll need
  • Deep understanding of data-driven analytics workflows, including data ingestion, enrichment, integration, and insight generation
  • Working knowledge of Generative AI and LLM-based solutions, including RAG, prompt design, agentic workflows, evaluation, responsible AI, and data governance
  • Knowledge of NER, ontologies, taxonomies, and knowledge graphs in real-world analytical use cases
  • Working knowledge of cloud and technical ecosystems, including AWS, REST APIs, SFTP, HTTP, OAuth, Docker, and Python
  • Familiarity with AI platforms, tooling, and integration patterns, including LLM APIs and MCP
  • Degree in a science, technology, or data field, or equivalent practical experience
  • Experience working in data-intensive enterprise environments such as technology, engineering, pharma, or life sciences
  • Willingness to learn scientific domains
  • Understanding of how data and software support research, analytics, and decision-making
  • Experience delivering technical demonstrations and presentations to technical and non-technical stakeholders
  • Excellent communication, storytelling, and stakeholder-management skills
  • Confidence leading complex technical discussions and navigating challenging or ambiguous customer conversations
  • Ability to travel to customer sites and industry events as required

Benefits

Comp & perks
  • Flexible working options
  • Wellbeing initiatives
  • Shared parental leave
  • Study assistance
  • Sabbaticals
  • Medical, dental, and vision coverage
  • 401(k) with match
  • Employee Share Purchase Plan
  • Wellness platform
  • Headspace subscription
  • Employee Assistance Programs
  • Short- and long-term disability insurance
  • Life insurance
  • Accidental death insurance
  • Critical illness insurance
  • Hospital indemnity insurance
  • Parental leave
  • Adoption and surrogacy support
  • HSA, FSA, dependent care, and commuter benefits
  • Paid time off
  • Volunteer and Employee Resource Group participation days
  • Country specific benefits