Jobs at Hippocratic AI

The Principal, Strategic Partnerships will lead AI adoption in healthcare by managing executive relationships, discovering use cases, performing economic analysis, and expanding partnerships with major health systems.

Oversee HR operations, compliance, employee experience, and strategic people operations at a growing healthcare AI company. Lead HR initiatives to ensure alignment with business goals and culture during rapid expansion.

Lead the Customer Success team, manage strategic health system partnerships, oversee solution implementations, and ensure client success metrics are met.

Lead strategic health system partnerships, develop a Customer Success team, oversee client engagements, and implement Hippocratic AI solutions in healthcare settings.

Lead and develop a high-performing team of Customer Success Executives in healthcare technology, driving enterprise client relationships and implementing successful strategies.

The Customer Success Executive will manage relationships with payer organizations, ensuring successful deployment and adoption of AI-driven solutions to improve healthcare outcomes and operational efficiency.

The Customer Success Executive ensures successful implementation and adoption of AI solutions in healthcare settings, fostering relationships and improving workflows.

The Customer Success Executive will implement AI solutions in healthcare settings, fostering relationships with stakeholders, conducting onsite training, and ensuring project success.

The Customer Success Executive will oversee implementation and scaling of AI solutions in healthcare, ensuring adoption and measurable outcomes while building strong client relationships.

The Director of Customer Success at Hippocratic AI leads a team managing enterprise health system accounts, focusing on implementation, workflow adoption, and measurable impact delivery while mentoring team members and enhancing client relationships.

The Customer Success Executive plays a key role in driving successful implementation of AI solutions in healthcare settings, ensuring client satisfaction and adoption through strong onsite collaboration with healthcare teams.

As an AI Customer Engineer, you will design and deploy AI systems in healthcare settings, integrating data and solving customer problems onsite.

As an Operations Analyst, you will ensure 24/7 operation of production systems, manage integrations, monitor alerts, and coordinate incident responses. You'll perform proactive maintenance, build operational tools, and collaborate across teams to enhance system reliability.

The AI Integration Engineer will connect healthcare data systems with AI platforms, focusing on data transformations using Python and interoperability standards like HL7 and FHIR, while coordinating with offshore teams and improving integration performance.

As a Senior Actuary, you will build actuarial models, analyze healthcare data, develop pricing frameworks, and support business development to demonstrate the value of AI in healthcare.

The Customer Success Executive will engage with health plan clients, drive user adoption of AI solutions, align implementations, and enhance overall client satisfaction.

The VP of Enterprise Sales will manage strategic accounts, engaging C-suite executives, architecting deals, and driving software solutions to healthcare providers, while working with various teams to ensure client satisfaction.

The Social Media Associate will manage social media content across platforms, support the CEO's online presence, create compelling content, and analyze performance metrics. This role requires creativity, project management skills, and familiarity with healthcare and AI.

As a Senior Staff AI Engineer, you will define the technical strategy for voice-based generative AI in healthcare, architect foundational platforms, partner with leadership, mentor engineers, and represent Hippocratic AI in external engagements.

Embed with healthcare customers to scope, build, and deploy production-grade conversational AI (RAG, agents, real-time voice) integrated with EHRs and cloud infrastructure, own monitoring and iterative improvements, and feed field insights back into product and research.