Technical Pre-Sales Consultant, Professional Services

🔥 2 minutes ago

🏖️ New Jersey, New York, +4 more states – Remote

infoinfo

💵 $72.2k - $120.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔍 Pre-sales Engineer

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Logo of RELX

RELX

10,000+ employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

RELX is a global provider of information-based analytics and decision tools for professional and business customers. The company focuses on enabling its clients to make better decisions, improve results, and enhance productivity by leveraging advanced technology and data. RELX serves various sectors, including Risk, Scientific, Technical & Medical, Legal, and Exhibitions, by offering specialized information and analytical tools that facilitate critical decision-making. The company is committed to corporate responsibility and delivering societal benefit through its products by contributing to scientific advancement, legal justice, and effective market transactions.

📋 Description

• 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

• 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

• 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

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