2 часа назад
Director, Enterprise Account Management, Physical Sciences (AI)
168 000 - 272 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Enterprise Account Management, Physical Sciences (AI): Owning strategic enterprise accounts and closing large agreements for an AI and autonomous-lab platform serving materials, chemicals, energy, and semiconductor companies with an accent on multi-year account strategy, executive relationships, and complex technical-commercial pursuits. Focus on negotiating enterprise contracts, translating scientific platform capabilities into commercial narratives, and shaping qualification, deal structures, and pricing.
Location: Cambridge, MA, USA
Expected base salary range: $168,000–$272,000 USD per year, with bonus potential and early-stage equity.
Company
is building a scientific superintelligence platform that combines advanced AI models with proprietary instruments and autonomous labs for materials, medicine, and energy research.
What you will do
- Own a named portfolio of strategic materials, chemicals, energy, and semiconductor accounts with direct revenue accountability.
- Build multi-year account strategies covering expansion, whitespace, and renewals.
- Establish executive relationships with R&D leaders, C-suite buyers, data and AI stakeholders, and partnership teams.
- Lead complex, multi-quarter pursuits and negotiate large enterprise agreements with legal, finance, and procurement.
- Partner with product and science teams to scope engagements, resolve technical dependencies, and prepare RFI and DDQ responses.
- Shape enterprise commercial strategy, including qualification standards, deal structures, pricing input, forecasting, and risk management.
Requirements
- 10+ years of experience in enterprise sales, business development, or commercial leadership, including strategic account ownership.
- Track record of closing large, multi-quarter enterprise agreements with materials, chemicals, energy, or semiconductor companies.
- Degree in chemistry, materials science, chemical engineering, physics, or an adjacent field, or equivalent experience.
- Fluency across the physical sciences R&D value chain, from discovery and formulation through scale-up.
- Executive presence with R&D leadership and C-suite buyers, plus the ability to translate AI and autonomous-lab capabilities into scientific and commercial narratives.
- Hands-on use of AI tools and comfort operating while the category, product, and commercial motion are still being defined.
Nice to have
- Experience with AI and ML applications in physical sciences, including materials property prediction, generative materials design, high-throughput experimentation, or simulation.
- Experience with industrial enterprise R&D buying cycles, joint development, or partnership structures.
- Background at a frontier AI, advanced materials, or platform company selling to technical buyers.
- Early GTM or commercial hire experience defining playbooks and deal structures.
Culture & Benefits
- Startup-speed environment focused on scientific AI and autonomous research systems.
- U.S. full-time employees receive medical, dental, and vision coverage, plus employer-paid life and disability insurance.
- Flexible time off, company-wide holidays, and paid parental leave.
- Educational assistance, commuter benefits including bike-share memberships for office-based employees, and a subsidized lunch program.
- Full-time employees outside the U.S. receive benefits tailored to their region.
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