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Clinical Customer Success Executive - Remote (U.S. based) | Frequent travel to Tokyo (2–3 weeks/month) image - Rise Careers
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Clinical Customer Success Executive - Remote (U.S. based) | Frequent travel to Tokyo (2–3 weeks/month)

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 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.

For more information, visit www.HippocraticAI.com.

About the Role:

We are seeking a Clinical Customer Success Executive with a strong clinical and corporate background to join our team. This role leverages your medical expertise to drive client satisfaction and the successful adoption of Hippocratic AI’s solutions. This role will partner with and report to the Chief Medical Officer.  While this is a remote role, it requires a minimum of 50% of travel to client locations and regular in-office collaboration in Palo Alto.

Responsibilities:

  • Build and maintain strong relationships with healthcare executives and clinical leadership, serving as a trusted medical advisor.

  • Lead end-to-end product implementations, ensuring alignment with physician workflows and clinical decision-making processes.

  • Provide clinical expertise to inform strategic decisions, particularly in areas such as diagnostic support and patient outcomes.

  • Train clinical leaders on the use of Hippocratic AI solutions to address complex medical scenarios.

  • Identify and advocate for advanced clinical use cases of AI technology to enhance care delivery and improve operational outcomes.

  • Collaborate with internal teams (sales, product, engineering) to translate client feedback into impactful product enhancements.

  • Define and track success metrics, including clinical outcome improvements, adoption rates, and operational efficiencies.

  • Travel extensively to client sites to engage with physician teams and participate in in-office strategy discussions in Palo Alto.

Qualifications
Must-Have
:

  • Active Medical Doctor (MD) license or Doctor of Osteopathy (DO) license

  • 5 years minimum of clinical experience

  • Proven success in customer-facing roles, such as customer success, account management, or healthcare leadership.

  • Strong background in project management.

  • Strong communication and leadership skills.

  • Ability to travel extensively

Preferred:

  • Experience with AI or technology integration in healthcare.

  • Advanced understanding of healthcare workflows, compliance, and clinical outcomes.

  • 3+ years in corporate or health technology roles

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CEO of Hippocratic AI
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Munjal Shah
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Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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Hippocratic AI is building a safety-focused large language model (LLM) for the healthcare industry. We believe that generative AI has the potential to massively increase healthcare access the world over but has to be built and tested responsibly. ...

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Full-time, remote
DATE POSTED
June 9, 2025

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