CuspAI
CuspAI
11 – 50 Darbuotojai
B2BDirbtinis intelektasMokslas
CuspAI – Kembridže, Jungtinėje Karalystėje, veikianti dirbtinio intelekto ir medžiagų mokslo įmonė, kurianti spartesnius naujų medžiagų atradimo ir projektavimo būdus. Jos „AI Materials Foundry“ sujungia medžiagų mokslininkus su pramonės laboratorijomis, duomenų ir skaičiavimo partneriais bei integruotais laboratoriniais darbo procesais, kad būtų galima vykdyti medžiagų paiešką B2B srityje. Įmonė daugiausia dėmesio skiria puslaidininkių, energijos kaupimo, katalizatorių, separacijos technologijų ir kitų pažangiosios gamybos sričių taikymams, veikdama dirbtinio intelekto, mokslinių tyrimų ir pramonės technologijų sankirtoje.

Partnerships Manager at CuspAI (US Hybrid)

Build commercial partnerships that bring CuspAI’s AI and data tools to US research and development teams in materials, chemicals, semiconductors, and energy. Manage opportunities from outreach through agreement, and help shape the company’s go-to-market approach.

Aprašymas

  • Find US industrial research and development teams in materials and chemicals that could benefit from CuspAI’s AI and data tools.
  • Manage partnership opportunities from initial contact through signed agreement.
  • Use your network and market knowledge to connect with companies in innovation hubs including the Bay Area, Boston, Texas, and the Research Triangle.
  • Learn about partners’ materials challenges and develop proposals with scientists and Technical Program Managers.
  • Negotiate commercial terms and finalize agreements.
  • Develop initial engagements into lasting partnerships and find opportunities to expand them.
  • Help identify promising customer types and sectors based on how quickly they convert.
  • Share market insights with product, research, and leadership teams.
  • Create go-to-market processes, materials, and playbooks.
  • Represent CuspAI at industry events and conferences.
  • Bring CuspAI’s AI and data capabilities to US research and development organizations in materials, chemicals, semiconductors, and energy.

Reikalavimai

  • At least eight years in partnerships, business development, or sales, selling to industrial research and development, materials, chemicals, or semiconductor organizations.
  • Experience introducing digital research and development tools to scientific teams, such as materials informatics, electronic lab notebooks, laboratory information management systems, or simulation software.
  • A record of sourcing and closing business-to-business deals involving multiple stakeholders and long sales cycles.
  • A network of research and development and business leaders at US industrial companies.
  • Ability to explain AI and computational concepts clearly to scientists and business leaders.
  • Comfort working with ambiguity and creating structure in a fast-growing startup.
  • Willingness to travel regularly within the United States and to Europe.
  • An advanced degree in chemistry, materials science, physics, chemical engineering, or a related field is a plus, but not essential.
  • Experience at a company focused on materials informatics, scientific software, or AI for research and development is a plus.
  • Experience building a market or commercial function from the ground up is a plus.

Privalumai

  • Equity in CuspAI.
  • 28 days of annual leave in Germany, the Netherlands, and the United Kingdom, or 21 days in Japan, Singapore, and the United States, plus local public holidays.
  • 26 weeks of fully paid parental leave for primary caregivers.
  • 12 weeks of fully paid parental leave for secondary caregivers.
  • Professional development budget.
  • Work on materials science, sustainability, and climate-related challenges.
  • Collaborate across disciplines with AI researchers, computational chemists, experimental scientists, and engineers.
  • Reasonable adjustments to the interview process for applicants who need accommodations.

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