Note: The job is a remote job and is open to candidates in USA. Digital Science is hiring a Sales Director to drive enterprise revenue across its research technology portfolio. The role owns the full commercial sales cycle, from pipeline generation and value alignment through negotiations, contracting, and cross-selling, with a focus on Life Sciences and enterprise data solutions.

Responsibilities

• Proactively identify, target, and initiate strategic conversations with C-suite leaders, R&D executives, and data architects across Life Sciences, BioPharma, and research-intensive enterprises
• Execute territory plans to build a high-volume, high-quality sales pipeline across the full Digital Science capability set
• Position Digital Science's unique portfolio advantage—leveraging connections between grants, patents, publications, clinical trials, and knowledge graphs
• Apply structured qualification frameworks to evaluate enterprise leads and focus resources on high-probability opportunities
• Manage and prioritize enterprise opportunities based on deal value
• Map complex decision-making structures to identify executive sponsors, budget holders, and technical evaluators
• Seek up-sell and cross-sell opportunities by partnering with Account Managers and Customer Engagement Managers
• Coordinated pitches and responses to request for proposals (RFPs)
• Articulate a compelling, value-based sales narrative focused on the *"why"* rather than just the *"how"*
• Translate complex conceptual capabilities—such as Semantic Web standards, open research workflows, and patent analytics—into clear ROI, de-risked R&D, and accelerated discovery for C-suite leaders
• Align Digital Science enterprise solutions with the client’s internal digital transformation, AI readiness, and knowledge management strategies
• Navigate enterprise procurement, legal, and security review cycles effectively to optimize deal velocity
• Lead commercial negotiations, proposal creation, price positioning, and contract execution
• Structure multi-product enterprise agreements that maximize deal value, protect margins, and establish long-term customer retention
• Act as the commercial lead across products (Dimensions, Altmetric, ReadCube, Figshare, and metaphacts.)
• Leverage internal resources, including Pre-Sales Specialists (Solutions Architects), Product thought leaders and Marketing resources
• Partner closely with colleagues during pre-sales discovery, proof-of-concept (PoC) designs, and technical validations
• Work alongside Account Managers to ensure smooth post-sale transitions and identify account expansion opportunities

Skills

• 5+ years of demonstrated success in enterprise B2B SaaS sales, solution consulting, or strategic account management with a proven record of hitting quota targets
• Proven experience navigating multi-stakeholder procurement and structuring high-value enterprise software contracts
• Exceptional communication skills with the ability to articulate complex technical and data concepts to executive audiences
• High priority on solid domain understanding of knowledge graphs, semantic ontologies, linked data, and the role of the Semantic Layer in enterprise AI and R&D
• Demonstrated commercial or domain familiarity with Enterprise Information Architecture (EIA) frameworks and semantic modeling is highly desired, enabling you to articulate how unifying siloed enterprise data assets into a semantic layer powers context-rich decision intelligence and Agentic AI workflows
• Strong preference for experience selling software, scientific data, or intelligence platforms into Life Sciences, Pharmaceutical, or Biotech accounts
• Familiarity with Resource Description Framework (RDF) concepts and Open Access (OA) publishing models
• Technical proficiency or hands-on data skills (e.g., SPARQL, Python, graph databases)

Benefits

• Fully remote work arrangement

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