Head of Design

Health tech startup

Our mission driven health tech startup client is in growth mode. They are seeking a Head of Design to join their team. In this role, you will work closely with the Engineering, Data, Product, and other teams to lay the foundation of design. We are looking for someone with extensive experience in design and a passion for solving some of the most complex and important problems related to healthcare.


  • Hands-on designer who designs everyday - Oversee the design and maintenance of an All-in-one AI-medical assistant AI platform that enables rapid creation, testing, and deployment.
  • Team Leadership and Development: Recruiting (continuously scan and evaluate) designers, contractors, agencies to build a world-class team of designers and engineers, fostering a collaborative and inclusive work environment.
  • AI Model Design: Delivering features fast as “speed is our currency.” Lead the design of advanced AI models to enhance user experience, safety, and outcomes across the entire product funnel.
  • Innovation: Always drive First Principles thinking while keeping abreast of the latest AI trends, AI Platforms, applications, and best practices, and advise on potential adoption to drive competitive advantage.
  • Operational Efficiency: Lead engineers as the organization grows while being able to talk to customers daily.

What We are Looking For:

  • BS/MS/PhDMS degree in Computer Science, AI, Data Science, or a related field. A PhD would be considered a plus.
  • Minimum of 5 years of experience working on design and delivering intuitive products with exceptional ability used by 100K customers.
  • Proven experience in a similar leadership role, preferably in a product-led tech company in a capacity with Growth Mindset. Any previous experience as a Technical Co-founder of a startup or MAANG high level leadership is a plus.
  • Expert in modern AI technologies (including generative AI), machine learning models, data analytics, and the underlying infrastructure & engineering to reliably deploy these models at scale.

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