Enterprise Account Lead (Physical Sciences)

TL;DR

Enterprise Account Lead (Physical Sciences): Driving enterprise sales and deal execution for an AI-driven materials and chemistry platform with an accent on building revenue pipelines and scaling GTM organizations. Focus on translating autonomous lab capabilities into signed enterprise contracts and leading complex multi-stakeholder sales cycles in the physical sciences vertical.

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 scientific method across medicine, materials, and energy.

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, platform technology, and business leadership.
• Own a portfolio of strategic accounts end-to-end, focusing on executive relationships and account expansion.
• Partner with product and science teams to scope high-value customer engagements and map needs against internal capabilities.
• Develop and refine the GTM playbook, including qualification criteria, proposal templates, and CRM processes.
• Analyze the AI/ML partnership landscape in physical sciences to inform positioning and competitive strategy.

Requirements

• BS, MS, PhD, or equivalent experience in chemistry, materials, physics, chemical engineering, or adjacent fields.
• 2-5+ years in a client-facing role (BD, enterprise sales, management consulting, or applied science).
• Must be located in or able to work from Cambridge, MA, USA.
• Ability to translate high technical depth into clear narratives for both R&D buyers and procurement teams.
• Strong organizational skills and the ability to manage multiple live accounts with limited oversight.
• Hands-on use of AI tools in daily workflows and a curiosity about autonomous science.

Nice to have

• Familiarity with AI/ML applied to physical sciences, such as generative models or Bayesian optimization.
• Exposure to enterprise R&D buying cycles in chemicals, energy, materials, or semiconductors.
• Experience as a founder or early GTM hire helping define commercial processes and collateral.

Culture & Benefits

• Competitive base compensation with bonus potential and generous early-stage equity.
• Comprehensive US and International benefits packages.
• Fast-paced startup environment guided by values of truth, trust, curiosity, grit, and velocity.
• Opportunity to be a foundational member of the team building a first-of-its-kind scientific superintelligence platform.