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2 months ago

Director, Materials AISF Program Lead (AI)

26 667 - 31 667$
Work format
onsite
Work type
fulltime
Grade
director
English
c1
Country
US
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

Text:
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TL;DR
Director, Materials AISF Program Lead (AI/Materials Science): Owning strategy and execution for the Materials Science AI Science Factory (AISF) program with an accent on integrating experimental systems with AI learning. Focus on building roadmaps for synthesis and characterization, managing cross-functional teams, and translating scientific priorities into scalable platform capabilities.

Location: Cambridge, MA USA

Salary: $320,000 - $380,000 USD

Company

hirify.global is building Scientific Superintelligence to autonomously execute the scientific method across medicine, materials, and energy.

What you will do

  • Own the Materials Science AISF program strategy, charter, budget, and success criteria.
  • Translate Product, Science, and AI priorities into executable program plans.
  • Build the roadmap for expanding AISF capabilities across synthesis, characterization, and closed-loop AI guidance.
  • Evaluate proof-of-concept results from Scientific Programs and design pathways for platform integration.
  • Lead and align cross-functional project teams to execute the Materials Science AISF strategy.
  • Represent program strategy, risks, and decisions in technical leadership reviews.

Requirements

  • PhD or equivalent experience in materials science, condensed matter physics, chemistry, or a closely related field.
  • Industry research experience with a track record of leading complex, multidisciplinary experimental programs.
  • Familiarity with vacuum synthesis, characterization, electrochemistry, or nanoporous systems.
  • Experience defining and managing technical roadmaps within real resource and budget constraints.
  • Strong communication skills to translate technical depth into strategic clarity.
  • Ability to lead through influence across matrixed, cross-functional teams.

Nice to have

  • Experience with automated or high-throughput experimental platforms, robotics, or lab automation.
  • Familiarity with AI/ML-driven experimental design or Bayesian optimization.
  • Exposure to atomistic simulation methods.
  • Experience in fast-paced research environments like national labs or deep-tech startups.

Culture & Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Employer-paid life and disability insurance.
  • Flexible time off with generous company-wide holidays.
  • Paid parental leave and an educational assistance program.
  • Commuter benefits and a company-subsidized lunch program.
  • Generous early-stage equity.

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