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Clinical Customer Success Executive - job 4 of 4

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: Raised $137 million from top investors, including General Catalyst, Andreessen Horowitz, Premji Invest, SV Angel, NVentures (Nvidia Venture Capital), and Greycroft.

  • 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.

We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.

About the Role:

We are seeking a Clinical Customer Success Executive with clinical and corporate experience to join our team. This role combines your clinical experience with strategic customer success responsibilities, ensuring that our clients achieve measurable outcomes through Hippocratic AI’s innovative solutions. You will have the opportunity to partner and report to the Chief Medical Officer.

Responsibilities:

  • Build and maintain strong relationships with healthcare staff and operational leaders, acting as a trusted clinical resource.

  • Lead product implementations, focusing on aligning solutions with nursing workflows and operational processes.

  • Train nursing teams and other healthcare staff on the effective use of Hippocratic AI solutions, ensuring adoption and success.

  • Identify opportunities to improve workflows and patient care outcomes using AI tools, particularly in bedside care and nursing operations.

  • Manage day-to-day client relationships, ensuring seamless communication and addressing operational concerns.

  • Collaborate with internal teams (product, sales, and engineering) to address client feedback and improve user experiences.

  • Establish metrics to measure success, including patient care outcomes, team adoption rates, and operational efficiencies.

  • Travel extensively to healthcare facilities for onsite support and training.

  • Collaborate with the nursing leadership team to share best practices from AI implementation and be comfortable presenting at conferences/webinars on the impact of AI in Nursing.

Qualifications

Must-Have:

  • A bachelor's degree from an accredited four-year university.

  • A minimum of 5 years of customer success experience within the health systems.

  • Proven experience in customer success, account management, or project management.

  • Ability to build relationships across an organization, from front-line staff to executives

  • Strong understanding of the healthcare industry, specifically clinical workflows and regulatory requirements

  • Experience working with cross-functional teams in a fast-paced startup environment

  • Strong background in project management.

  • This is an in-office position. You must be local to the Palo Alto office or willing to relocate.

Nice-to-Have:

  • Experience with AI or technology adoption in healthcare.

  • Advanced knowledge of healthcare workflows and compliance standards.

Annual Cash Compensation: $130,000 - $160,000

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CEO of Hippocratic AI
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Munjal Shah
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Average salary estimate

$145000 / YEARLY (est.)
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$130000K
$160000K

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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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DATE POSTED
December 31, 2024

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