[Hiring] Technical Pre-Sales Consultant @Elsevier

Role Description

As a Technical Consultant (Pre-Sales), you will play a critical role in driving revenue growth by partnering with Sales to position Elsevier’s data and software solutions, and analytics capabilities as enablers of customer insight and decision-making. You will act as the technical authority throughout the sales cycle, leading discovery, shaping data-driven use cases, and demonstrating how Elsevier’s offerings can be combined to power advanced analytics, knowledge graphs, and AI-enabled workflows.

This role focuses mainly on pre-sales activities, with close collaboration across post-sales, professional services, and product teams to ensure proposed solutions are technically feasible, scalable, and aligned with real-world delivery and adoption.

Success in this role is built on a strong technical foundation, practical AI and data expertise, curiosity about scientific domains, and exceptional customer-facing skills, enabling you to translate data and software capabilities into compelling, outcome-driven solutions.

Responsibilities

• Pre-sales solution leadership
• Develop and maintain expertise in Elsevier’s solutions, including curated datasets, data APIs and integration options, MCP servers, AI agents, and SciBite semantic solutions.
• Lead technical discovery to understand customer objectives, analytical workflows, data landscapes, and success criteria.
• Design and deliver tailored solution demonstrations showcasing how Elsevier data and software enable insights.
• Scope and prepare solution proposals, and support proof-of-concepts (PoCs), technical evaluations, and pilots.
• Act as a trusted technical advisor throughout the sales cycle.
• Stay current with developments in AI and advise customers on how to apply them with Elsevier data.
• Cross-functional alignment
• Validate solution feasibility in collaboration with Product and Professional Services teams.
• Capture customer feedback and market insights to inform product positioning, roadmap priorities, and go-to-market strategy.

Qualifications

• Deep understanding of data-driven analytics workflows, including data ingestion, enrichment, integration, and insight generation.
• Working knowledge of Generative AI and LLM-based solutions.
• Working knowledge of cloud and technical ecosystems.
• Degree in a science, technology, or data field (Master’s or PhD advantageous), or equivalent practical experience.
• Experience working in data-intensive enterprise environments.
• Understanding of how data and software are used to support research, analytics, and decision-making.
• Experience delivering technical demonstrations and presentations to both technical and non-technical stakeholders.
• Excellent communication, storytelling, and stakeholder-management skills.
• Confidence leading complex technical discussions and navigating challenging customer conversations.
• Able to travel to customer sites and industry events as required.

Benefits

• Health benefits: medical, dental, and vision coverage.
• Retirement benefits: 401(k) with match and Employee Share Purchase Plan.
• Wellbeing: wellness platform, Headspace subscription, and Employee Assistance Programs.
• Insurance: short- and long-term disability, life, accidental death, critical illness, and hospital indemnity.
• Family benefits: parental leave, adoption, and surrogacy support.
• Savings accounts: HSA, FSA, dependent care, and commuter benefits.
• Paid time off, plus volunteer and Employee Resource Group participation days.