Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Высокая зарплатаПередовой доменСтартап-средаВысокие ожидания
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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