Enterprise Sales Director

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead revenue growth by managing the complete commercial sales cycle for Digital Science’s integrated portfolio.

• Actively seek out, target, and initiate strategic discussions with C-suite executives, R&D leaders, and data architects in the Life Sciences, BioPharma, and research-focused organizations.

• Implement territory strategies to cultivate a high-volume, high-quality sales pipeline.

• Present the portfolio in the context of grants, patents, publications, clinical trials, and knowledge graphs.

• Utilize structured qualification frameworks to prioritize enterprise opportunities based on potential deal value.

• Analyze decision-making frameworks to identify executive sponsors, budget holders, and technical evaluators.

• Recognize up-sell and cross-sell opportunities in collaboration with Account Managers and Customer Engagement Managers.

• Organize pitches and responses to RFPs.

• Create value-driven sales narratives that translate intricate capabilities into return on investment, reduced risks in R&D, and accelerated discoveries.

• Align enterprise solutions with clients’ digital transformation initiatives, AI readiness, and knowledge management strategies.

• Manage procurement, legal, and security evaluations.

• Direct commercial negotiations, proposal drafting, pricing strategies, and contract execution.

• Structure multi-product enterprise agreements.

• Serve as the commercial lead for Dimensions, Altmetric, ReadCube, Figshare, and metaphacts.

• Utilize Pre-Sales Specialists, Product thought leaders, and Marketing resources effectively.

• Collaborate on pre-sales discovery, proof-of-concept designs, and technical validations.

• Partner with Account Managers for post-sale transitions and account expansion initiatives.

⛳️ Requirements

• 5+ years of proven success in enterprise B2B SaaS sales, solution consulting, or strategic account management.

• Demonstrated track record of meeting quota targets.

• Experience navigating multi-stakeholder procurement processes and structuring high-value enterprise software contracts.

• Excellent communication skills with the ability to convey complex technical and data concepts to executive audiences.

• Familiarity with Enterprise Information Architecture frameworks and semantic modeling is highly desirable.

• Strong understanding of knowledge graphs, semantic ontologies, linked data, and the Semantic Layer in enterprise AI and R&D.

• Preference for candidates with experience selling software, scientific data, or intelligence platforms to Life Sciences, Pharmaceutical, or Biotech accounts.

• Knowledge of RDF concepts and Open Access publishing models is beneficial.

• Technical proficiency or hands-on skills in data tools such as SPARQL, Python, or graph databases are preferred but not mandatory.

• Willingness and capability to travel 20%–40% of the time.

• A keen interest in AI and a willingness to experiment and adapt.

🏝️ Benefits

• Commitment to investing in, nurturing, and supporting innovative businesses and technologies that promote open, efficient, and effective research.

• A collaborative and inclusive work environment.

• Equal opportunity employment and a dedication to a diverse, inclusive workplace where everyone feels valued and included.