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7 часов назад

Enterprise Account Lead (Chemicals)

88 000 - 144 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Enterprise Account Lead (Chemicals): Driving enterprise deal execution and scaling the sales organization for an AI-driven materials and chemistry platform with an accent on Fortune 500 energy and chemical companies. Focus on translating autonomous lab capabilities into signed contracts and designing the GTM playbook for physical sciences.

Location: Cambridge, MA, USA

Salary: $88,000 - $144,000 USD

Company

hirify.global is building Scientific Superintelligence by combining advanced AI models with proprietary instruments to automate the entire scientific method.

What you will do

  • Build and manage a high-quality revenue pipeline from opportunity identification through negotiation and close.
  • Lead complex, multi-stakeholder sales cycles across R&D, data/AI, and business leadership at Fortune 500 companies.
  • Own a portfolio of strategic accounts, building executive relationships and running account-level planning.
  • Collaborate with product and science teams to scope high-value customer engagements based on internal capabilities.
  • Define a repeatable GTM playbook, including qualification criteria, battle cards, and talk tracks.
  • Manage technical RFI and DDQ responses by coordinating with internal scientific experts.

Requirements

  • BS, MS, PhD, or equivalent experience in chemistry, physics, chemical engineering, or adjacent fields.
  • 2-5+ years in a client-facing role (BD, enterprise sales, management consulting, or applied science).
  • Ability to translate technical depth into clear narratives for both R&D buyers and procurement teams.
  • Experience working in fast-moving, technical, and cross-functional environments.
  • Strong organizational skills to manage multiple live accounts in parallel.
  • Hands-on use of AI tools in day-to-day workflows.

Nice to have

  • Familiarity with AI/ML applied to physical sciences (e.g., generative models, Bayesian optimization).
  • Exposure to enterprise R&D buying cycles in materials, semiconductors, or industrial biotech.
  • Experience as a founder or early GTM hire defining early commercial processes.
  • Prior experience in frontier AI (SaaS, biotech, robotics) selling into technical buyers.

Culture & Benefits

  • Competitive base compensation, bonus potential, and generous early-stage equity.
  • Comprehensive medical, dental, and vision coverage.
  • Flexible time off with generous company-wide holidays and paid parental leave.
  • Educational assistance program and commuter benefits (including bike share).
  • Company-subsidized lunch program for office-based employees.

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