Member of GTM Staff, Strategic Partnerships

Responsibilities

• Own a focused portfolio of strategic biopharma accounts, carrying an individual revenue target and leading the full commercial cycle from prospecting and qualification through negotiation, close, renewal, and expansion.
• Develop and execute long-term account plans that connect Edison’s capabilities to high-priority scientific, operational, and organizational needs across biopharma R&D.
• Build trusted relationships with senior leaders across Research, Clinical Development, Data and AI, IT, security, procurement, Legal, Finance, and executive leadership.
• Partner with Edison’s scientific, engineering, and product teams to shape use cases, define success criteria, and structure deployments that demonstrate measurable scientific and business impact.
• Run a disciplined pipeline and forecasting process, maintaining clear account strategies, accurate deal inspection, and consistent execution across complex, multi-stakeholder sales cycles.
• Bring customer needs, market dynamics, and competitive intelligence back to Edison while helping develop repeatable value narratives, proof points, and commercial playbooks.

Qualifications

• 10+ years of enterprise sales, business development, or strategic account experience, including significant experience selling into pharmaceutical or biotechnology companies.
• Have consistently carried and exceeded multi-million-dollar revenue targets while personally originating and closing complex enterprise agreements.
• Understand biopharma R&D workflows across discovery, translational research, clinical development, and regulatory submission.
• Build credibility with scientists, technical leaders, and executives and translate complex AI capabilities into clear scientific, operational, and economic value.
• Have experience navigating large buying committees and requirements involving scientific validation, data governance, security, compliance, procurement, Legal, and Finance.
• Bring strong account-planning, pipeline-management, forecasting, and negotiation discipline while remaining effective in an early-stage environment with an evolving product and playbook.
• Experience bringing AI, computational, data, or scientific platforms into biopharma R&D organizations.
• Familiarity with computational biology, cheminformatics, translational science, or AI-enabled drug development.
• Experience structuring multi-year, milestone-based, co-development, or strategic partnership agreements in addition to conventional software contracts.

Pay

Salary Base: $225,000 - 275,000
Total OTE: $275,000 - $400,000
Offers Equity (Based on Tier 1 Cities - New York & San Francisco)