Digital Science · 12 hours ago
Solutions Architect – Knowledge Graphs & Research Intelligence (Pre-Sales)
United States
Full-time
Remote
Mid, Senior LevelDigital Science is a pioneering technology company advancing the research ecosystem. They are seeking a Solutions Architect to support pre-sales activities by helping clients understand how their knowledge graph and research intelligence solutions can meet complex analytical needs.
FinanceSoftware
Responsibilities
Engage with prospective Government, Funder, and Non-profit customers to understand their strategic goals, data challenges, and functional requirements
Map customer needs onto technical capabilities across Dimensions, Metaphactory’s semantic knowledge graph platform, and other Digital Science solutions
Translate complex technical concepts into clear business value for diverse audiences
Design tailored solution architectures including data flows, semantic models (ontologies and vocabularies), integration strategies, dashboards, and knowledge graph–based applications
Build and present custom demos using Dimensions data, metaphactory low-code tools, and relevant APIs or semantic models
Serve as the technical counterpart to Sales, supporting all stages of the pre-sales cycle
Provide subject matter expertise on Dimensions solutions, including the web application, dashboards, APIs, and also Digital Science semantic technologies, and customer use cases
Assist with scoping, effort estimates, and defining service components for proposed solutions
Lead the technical components of proposals, tenders, and RFX responses
Collaborate with Delivery and Technical Services colleagues to modify or draft Statements of Work (SoWs), ensuring accurate service descriptions and alignment with client expectations
Deliver compelling live demonstrations, webinars, workshops, and technical deep dives
Provide training and enablement sessions to help clients understand product capabilities and best practices
Build trust through clear communication, confidence in technical details, and thoughtful engagement with client questions
Transform and integrate customer data into demo scenarios
Partner closely with Solutions Specialists, Delivery teams, Product Managers, and Engineering teams to ensure seamless handoff from pre-sales to implementation
Identify opportunities for enhanced or custom solutions and signal when to involve consulting teams
Maintain and share insights about market trends and client needs
Represent Digital Science at industry conferences, trade shows, and community events when requested by Sales or Marketing
Stay current on trends in knowledge graphs, research analytics, and government/funder workflows
Qualification
Required
Demonstrated experience in pre-sales engineering, technical consulting, or similar client-facing technical roles
Strong technical communication skills with the ability to design and present compelling demos and solution narratives
Familiarity with semantic web technologies (RDF, SPARQL, OWL, SHACL) and graph databases
Experience with basic web technologies (e.g., HTML5, CSS) and low-code environments for prototyping demo applications
Ability to design integration workflows using APIs, research data sources, or cloud environments (AWS, Azure, GCP)
Strong analytical and problem-solving capabilities
Proven ability to collaborate with Sales teams and manage multiple pre-sales engagements
Excellent presentation and communication skills in English; additional languages are a plus
Preferred
Degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline
Experience working with research organizations, funding agencies, or public sector clients
Knowledge of Dimensions, Altmetric, or other research intelligence tools
Experience building semantic applications or visualizations using knowledge graph platforms
Experience with Docker or cloud deployment approaches
Company
Digital Science
Digital Science is a scientific research software technology company. It is a sub-organization of Holtzbrinck Digital.
Founded in 2010
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Mario Diwersy
Chief Technology Officer
Greg Timbol
VP Corporate Sales
Recent News
2025-12-16
2025-12-11
Company data provided by crunchbase