Customer Success Executive (Saudi Arabia)

About Us

Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.

Why Join Our Team

• Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.
• Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, 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.
• World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.

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This role requires travel to customer sites 1-3 times per month, with visits typically lasting 1-3 days. We're looking for someone who can bring a flexible, hands on approach to supporting our clients in person.

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 Saudi Arabia. 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-launchCoordinate 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 Singapore.
• 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 email addresses. We will never request payment or sensitive personal information during the hiring process. If anything