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Hippocratic AI

Customer Success Executive (London, UK)

Reposted 14 Days Ago
In-Office or Remote
2 Locations
Mid level
In-Office or Remote
2 Locations
Mid level
Lead the deployment and adoption of Hippocratic AI's technology in health systems, ensuring implementation aligns with healthcare needs and stakeholder environments.
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About Us

Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.

Why Join Our Team
  • Innovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.

  • Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft and NVIDIA.

  • Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.

  • Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.

For more information, visit www.HippocraticAI.com.

Role Overview

We are seeking a Customer Success Executive to lead the successful deployment and adoption of Hippocratic AI’s technology across health systems in London, UK. You will be responsible for overseeing implementation, engaging key stakeholders, and ensuring our solutions are tailored to the needs of both local and U.S. healthcare contexts. This role requires experience leading technology implementation within health systems, strong communication skills, and cultural fluency across both U.S. and local markets. A strong working understanding of technologies such as AI, LLMs, or NLP is preferred.

Note: While this role is based internationally, we are also open to candidates currently located in the United States who are willing to relocate, provided they have existing authorization to live and work in the destination country.

Key Responsibilities
  • Lead and manage end-to-end implementation of Hippocratic AI’s platform in health systems

  • Act as the primary point of contact for client stakeholders, including administrative, operational, and IT leaders

  • Translate business and operational needs into tailored implementation strategies

  • Develop and execute training and change management plans to ensure successful adoption

  • Collaborate with Product, Engineering, and AI teams to share customer feedback and refine solutions

  • Monitor outcomes and continuously optimize workflows post-launch

  • Coordinate with U.S.-based counterparts to ensure alignment across global deployments

Required Qualifications
  • Proven experience managing or supporting technology implementations within health systems

  • Strong knowledge of healthcare operations, IT systems, and digital transformation best practices

  • Professional fluency in both English and the local language (written and verbal)

  • Deep familiarity with healthcare workflows, stakeholder environments, and system dynamics in both the U.S. and U.K.

  • Exceptional communication, relationship-building, and project management skills

Preferred Qualifications
  • Working understanding of AI, large language models (LLMs), or natural language processing (NLP) and how they can be applied in healthcare settings

  • Experience collaborating with cross-functional technical teams (e.g., product, engineering, AI research)

  • Exposure to EHR systems, interoperability platforms, or patient engagement technologies

***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

Top Skills

AI
Large Language Models
Nlp

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