Enterprise Account Lead (AI)

Location: Cambridge, Massachusetts, USA

Expected base salary: $108,000–$186,667 USD per year, plus bonus potential and early-stage equity.

Company

hirify.global is building Scientific Superintelligence by combining advanced AI models with proprietary AI Science Factory instruments to automate the scientific method and accelerate discovery across medicine, materials, and energy.

What you will do

• Build, manage, and grow an enterprise revenue pipeline from prospecting and qualification through proposal, negotiation, and close.
• Lead complex, multi-stakeholder sales cycles with R&D, technology, data and AI, procurement, and business leaders.
• Own strategic accounts end to end, including executive relationships, account planning, expansion, renewal, and day-to-day execution.
• Translate closed-loop AI, autonomous laboratory, materials, and chemistry capabilities into customer-ready narratives and signed enterprise contracts.
• Partner with product, science, software, robotics, and Physical AI teams to scope customer engagements and resolve technical requirements.
• Develop CRM processes, proposal materials, governance, qualification criteria, battle cards, talk tracks, and a repeatable GTM playbook.

Requirements

• BS, MS, PhD, or equivalent experience in materials, physics, chemical engineering, or a related field.
• 2–5+ years in a client-facing role owning customer outcomes across enterprise sales, business development, consulting, customer success, or applied science.
• Ability to communicate technical concepts clearly to R&D buyers, procurement teams, scientists, engineers, and business leaders.
• Strong organization and execution skills, with the ability to manage multiple live accounts with limited oversight.
• Experience working collaboratively in a fast-moving, highly technical, cross-functional environment.
• Hands-on use of AI tools and curiosity about AI and autonomous science in physical sciences.

Nice to have

• Experience with AI/ML for physical sciences, including property prediction, generative materials models, Bayesian optimization, or simulation-driven design.
• Exposure to enterprise R&D buying cycles in materials, semiconductors, or industrial biotech.
• Experience selling frontier AI, SaaS, biotech, robotics, or data products to technical buyers.
• Founder or early GTM/commercial experience developing processes, playbooks, and collateral.

Culture & Benefits

• Startup-speed environment focused on scientific and technological challenges with historic importance.
• Full-time U.S. employees receive medical, dental, vision, life, and disability insurance.
• Flexible time off, company-wide holidays, paid parental leave, and educational assistance.
• Commuter benefits, including bike-share memberships for office-based employees, and a subsidized lunch program.
• International full-time employees receive benefits tailored to their region.