2 часа назад
Director, Enterprise Account Management, Life Sciences (AI)
168 000 - 272 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Enterprise Account Management, Life Sciences (AI): Owning strategic pharma accounts and closing complex enterprise agreements for an AI and autonomous-lab platform serving scientific discovery, small molecules, and biologics with an accent on multi-year account strategy, executive relationships, and technical-commercial deal leadership. Focus on negotiating large contracts, translating AI capabilities into scientific narratives, and shaping enterprise pricing, qualification, and commercial strategy.
Location: Cambridge, MA, USA
Expected base salary: $168,000–$272,000 USD annually, plus bonus potential and early-stage equity.
Company
is building a scientific superintelligence platform that combines advanced AI models with proprietary AI Science Factory instruments to automate scientific discovery across medicine, materials, and energy.
What you will do
- Own a named portfolio of the top 20 pharma accounts and take direct responsibility for revenue, expansion, whitespace, and renewal.
- Build multi-year account strategies and maintain executive relationships with R&D leaders and C-suite stakeholders.
- Lead complex, multi-quarter enterprise pursuits across discovery, translational research, platform, data and AI, business development, and licensing.
- Negotiate and close large enterprise agreements with legal, finance, procurement, product, science, software, and robotics partners.
- Maintain accurate forecasts, communicate risks and priorities, and provide leadership with clear tradeoffs.
- Own technical RFI and DDQ responses and help shape qualification standards, deal structures, pricing, and broader commercial strategy.
Requirements
- 10+ years of experience in enterprise sales, business development, or commercial leadership, including strategic account ownership.
- Demonstrated success closing large, multi-quarter enterprise agreements with top-20 pharma or comparable accounts.
- Degree in biology, chemistry, biochemistry, bioengineering, or a related field, or equivalent experience.
- Fluency across the pharma R&D value chain from discovery through early development.
- Executive presence with R&D leadership and C-suite buyers.
- Ability to translate AI and autonomous-lab capabilities into credible scientific and commercial narratives, with hands-on use of AI tools.
Nice to have
- Experience with AI and machine learning in life sciences, including target identification, generative models, predictive ADMET, or computational biology.
- Experience with pharma enterprise R&D buying cycles, alliance structures, or partnership models.
- Experience at a frontier AI, biotech, or platform company selling to technical buyers.
- Early go-to-market or commercial experience defining playbooks and deal structures.
Culture & Benefits
- Startup-speed environment focused on AI-driven scientific discovery.
- Full-time U.S. employees receive medical, dental, and vision coverage, employer-paid life and disability insurance, paid parental leave, and flexible time off.
- Additional benefits include educational assistance, commuter benefits for office-based employees, and a subsidized lunch program.
- International full-time employees receive benefits tailored to their region.
- Values include truth, trust, curiosity, grit, and velocity.
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