Enterprise Sales Director
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Job Description
Enterprise Sales Director driving enterprise SaaS revenue across Digital Science’s research technology portfolio. Selling knowledge graph, semantic data, and AI solutions to Life Sciences organizations.
Responsibilities:
- Drive top-line revenue growth by owning the full commercial sales cycle across Digital Science’s integrated portfolio
- 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
- Position the portfolio across grants, patents, publications, clinical trials, and knowledge graphs
- Apply structured qualification frameworks and prioritize enterprise opportunities based on deal value
- Map decision-making structures to identify executive sponsors, budget holders, and technical evaluators
- Identify up-sell and cross-sell opportunities with Account Managers and Customer Engagement Managers
- Coordinate pitches and RFP responses
- Develop value-based sales narratives and translate complex capabilities into ROI, de-risked R&D, and accelerated discovery
- Align enterprise solutions with clients’ digital transformation, AI readiness, and knowledge management strategies
- Navigate procurement, legal, and security reviews
- Lead commercial negotiations, proposal creation, price positioning, and contract execution
- Structure multi-product enterprise agreements
- Act as commercial lead across Dimensions, Altmetric, ReadCube, Figshare, and metaphacts
- Leverage Pre-Sales Specialists, Product thought leaders, and Marketing resources
- Partner on pre-sales discovery, proof-of-concept designs, and technical validations
- Work with Account Managers on post-sale transitions and account expansion opportunities
Requirements:
- 5+ years of demonstrated success in enterprise B2B SaaS sales, solution consulting, or strategic account management
- Proven record of hitting quota targets
- Proven experience navigating multi-stakeholder procurement and structuring high-value enterprise software contracts
- Exceptional communication skills and ability to articulate complex technical and data concepts to executive audiences
- Enterprise Information Architecture frameworks and semantic modeling familiarity highly desired
- Solid understanding of knowledge graphs, semantic ontologies, linked data, and the Semantic Layer in enterprise AI and R&D
- Experience selling software, scientific data, or intelligence platforms into Life Sciences, Pharmaceutical, or Biotech accounts strongly preferred
- Familiarity with RDF concepts and Open Access publishing models
- Technical proficiency or hands-on data skills such as SPARQL, Python, or graph databases are desired but not required
- Willingness and ability to travel 20%–40%
- Curiosity about AI and openness to experiment and adapt
Benefits:
- Investment in, nurturing, and support of innovative businesses and technologies advancing open, efficient, and effective research
- Collaborative and inclusive workplace
- Equal opportunity employment and commitment to a diverse, inclusive workplace where everyone feels valued and belongs
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