Technical Pre-Sales Consultant, Professional Services - SciBite

RX Brasil; Philadelphia (Philadelphia County); Hybrid; USD 72,000 - 120,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Wellbeing programs

Disability and life insurance

Family benefits

Job summary

Elsevier is seeking a Technical Consultant (Pre-Sales) to lead technical discovery and showcase data-driven use cases across analytics, AI-enabled workflows, and knowledge graphs. You will ground LLMs, agents, and RAG applications in trusted scientific data while partnering with Sales to drive revenue growth.

The role focuses on pre-sales with collaboration across product, professional services, and post-sales teams to ensure solutions are technically feasible, scalable, and aligned with

Qualifications

• Deep understanding of data-driven analytics workflows and data integration.
• Working knowledge of Generative AI, LLMs, RAG, and prompt design.
• Familiarity with cloud and ecosystem tools (AWS, APIs, Docker).
• Degree in science, technology or data field, or equivalent practical experience.
• Experience delivering technical demos to technical and non-technical stakeholders.
• Willingness to travel to customer sites and events.

Responsibilities

• Lead pre-sales solution demonstrations and tailor proposals to customer needs.
• Collaborate with Product and Professional Services to ensure feasibility and delivery.
• Scope PoCs, technical evaluations, and pilots with clear trade-offs and dependencies.
• Translate customer requirements into data-driven use cases and architectures.
• Stay current on AI developments and advise on responsible AI practices.
• Provide trusted technical guidance throughout the sales cycle.

Skills

Data analytics workflows

Generative AI & LLM

Cloud ecosystems

Communication & storytelling

Travel readiness

Education

Science/Tech/Data degree

Tools

AWS

REST APIs

SFTP

HTTP

OAuth

Docker

Python

LLM APIs

MCP

Job description

About the Team

This role sits within Elsevier's Advanced Data Solutions team, which is responsible for selling and enabling customer implementations of Elsevier's data and software solutions. Technical Consultants (Pre-Sales) report to the global Director of Technical Consulting (Pre-Sales) while operating in regionally aligned roles, with ownership across North America, EMEA, and APAC (primarily Japan). The team partners closely with Sales, post-sales, and Professional Services teams to support enterprise customer engagements.

About the Role

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, including grounding LLMs, agents, and RAG applications in trusted scientific data. 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, and how these combine to give customers' analytics and AI applications trusted access to Elsevier data and deliver insights. Lead technical discovery to understand customer objectives, analytical workflows, data landscapes, and success criteria, translating business and scientific challenges into data-driven use cases, solution architectures, and value narratives Design and deliver tailored solution demonstrations showcasing how Elsevier data and software enable insights (e.g., discovery, analytics, AI-powered workflows and agents, and knowledge graph construction). Scope and prepare solution proposals, and support proof-of-concepts (PoCs), technical evaluations, and pilots to validate solution fit and value, clearly articulating technical trade-offs, assumptions, and dependencies across data, software, and services. Act as a trusted technical advisor throughout the sales cycle, supporting account strategy, solution positioning, and competitive differentiation. Stay current with developments in AI (e.g., LLMs, agentic workflows, and responsible AI) and advise customers on how to apply them with Elsevier data, while using AI tools to improve the speed and quality of pre-sales work such as demos, proposals, and PoCs. Cross-functional alignment Validate solution feasibility in collaboration with Product and Professional Services teams to ensure smooth delivery, adoption, and account growth and expansion. Capture customer feedback and market insights to inform product positioning, roadmap priorities, and go-to-market strategy in partnership with Product and Marketing teams.

Requirements

Have deepp understanding of data-driven analytics workflows, including data ingestion, enrichment, integration, and insight generation Have working knowledge of Generative AI and LLM-based solutions (e.g., RAG, prompt design, agentic workflows, evaluation, and responsible AI and data governance), and of how NER, ontologies, taxonomies, and knowledge graphs are applied to real-world analytical use cases Have working knowledge of cloud and technical ecosystems (e.g., AWS, REST APIs, SFTP, HTTP, OAuth, Docker, Python, etc.), with familiarity with AI platforms, tooling, and integration patterns (e.g., LLM APIs, MCP). Have a degree in a science, technology, or data field (Master’s or PhD advantageous), or equivalent practical experience. Experience working in data-intensive enterprise environments (e.g., technology, engineering, pharma, or life sciences); life sciences experience is desirable but not essential, alongside a willingness to learn scientific domains. Have an understanding of how data and software are used to support research, analytics, and decision-making is highly valued. Experience delivering technical demonstrations and presentations to both technical and non-technical stakeholders Excellent communication, storytelling, and stakeholder-management skills. Display confidence leading complex technical discussions and navigating challenging or ambiguous customer conversations Able to travel to customer sites and industry events as required.

Work in a Way That Works for You

We promote a healthy work-life balance and offer flexible working options. Our benefits include wellbeing initiatives, shared parental leave, study assistance, and sabbaticals—supporting both your immediate responsibilities and long-term goals.

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

About the Business

As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes. By combining trusted content with advanced analytics, we support research, education, and clinical practice. At Elsevier, your work contributes to solving global challenges and building a more sustainable future.

Salary and Location

• U.S. National Base Pay Range: $72,200 - $120,200. Total Target Cash Range: $111,000 - $184,800. Geographic differentials may apply in some locations to better reflect local market rates.
• If performed in New York, the base pay range is $79,500 - $132,200, the total target cash range is $122,100 - $203,300.
• If performed in New York City, the base pay range is $86,700 - $144,200, the total target cash range is $133,200 - $221,700.
• If performed in Rochester, NY, the base pay range is $72,200 - $120,200, the total target cash range is $111,000 - $184,800.
• If performed in New Jersey, the base pay range is $85,085 - $135,915, the total target cash range is $130,977 - $209,223.
• If performed in Ohio, the base pay range is $68,600 - $114,100, the total target cash range is $105,500 - $175,500.

Equal Opportunity Employer

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers: EEO Know Your Rights.

If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence.

By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most. We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses.

Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all. With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs.

Let's shape progress together. Join us. elsevier.com/about/careers