Jobs at Hippocratic AI

Lead a regional portfolio and a team of Directors/senior CSEs to drive net revenue retention and expansion. Act as executive client contact for health systems, oversee enterprise implementations, change management and adoption, build scalable CS playbooks and processes, collaborate with Product/Engineering/Sales, represent the company externally, and support hiring and team development. Onsite in Duarte, CA with occasional travel to Palo Alto.

Serve as an on-site, embedded customer success lead at a health system, driving post-sale implementation, configuration, training, adoption, and measurable clinical and operational outcomes. Build relationships across clinical, operational, and IT teams, manage day-to-day client execution, track success metrics, and collaborate with product, sales, and engineering to improve the solution and scale deployments.

Lead the development of pharmacovigilance infrastructures, safety systems, and processes for AI-driven patient interactions, ensuring compliance and safety.

The Customer Success Executive will implement and scale AI solutions in healthcare, ensuring strong adoption by nursing and clinical teams while managing client relationships and project execution.

As a Performance Engineer, you will build automated performance testing frameworks, characterize VoIP performance, and collaborate with cross-functional teams to improve system efficiency and reliability.

The LLM Inference Engineer will optimize large language model infrastructure and implement serving architectures, quantization techniques, and latency optimizations. Responsibilities include designing disaggregated serving solutions, benchmarking system performance, and guaranteeing efficient, scalable LLM systems in production.

As a Customer Success Executive, you will implement AI solutions in healthcare systems, ensuring strong adoption, measurable outcomes, and collaborating closely with clinical and operational teams.

Lead end-to-end deployments of a healthcare AI product for life sciences customers. Conduct onsite workflow discovery, design and configure solutions, drive adoption and ROI, manage stakeholder relationships, train users, measure deployment outcomes, and channel field insights to Product and Engineering to scale deployments.

As a Deployment Strategist, you will work with teams to deploy AI solutions in healthcare, engage with clients to understand their needs, and optimize workflows and deployments for improved patient outcomes.

The Director, Forward Deployed Engineering will lead the technical strategy and integration for deploying AI agents in life sciences, focusing on customer collaboration and complex IT environments. Responsibilities include overseeing technical discovery, development of AI agents, integration architecture with pharma systems, and managing a team of engineers.

The Senior Machine Learning Engineer will design evaluation frameworks, develop synthetic data pipelines, build evaluation systems, and collaborate with teams to improve model quality in healthcare AI.

Act as an on-site, forward-deployed customer success lead for health systems, owning post-sale implementation, workflow discovery, training, adoption, metrics tracking, and stakeholder engagement to drive measurable clinical and operational outcomes.

The Chief Commercial Officer will lead commercial strategy and revenue generation focusing on government agencies, oversee partnerships, and collaborate on market-driven product strategies.

The Senior Applied Scientist will manage the end-to-end RL-based post-training pipeline to enhance clinical reasoning and safety of AI models for healthcare applications, running experiments and collaborating with interdisciplinary teams.

As a Staff AI Engineer, you'll lead the design of voice-based generative AI systems in healthcare, collaborating with cross-functional teams and mentoring engineers while ensuring safety and scalability.

The Forward Deployment Engineer will design, deploy, and support AI systems in clinical workflows, serve as a technical consultant to healthcare customers, and integrate healthcare data using various technologies.

As a Senior Staff AI Engineer, define multi-year technical strategy, architect platforms for voice-based AI in healthcare, mentor engineers, and represent the company in external discussions.

The Integration Engineer will bridge healthcare data systems to AI platforms, focusing on EHRs, APIs, and data integration. Responsibilities include designing integration flows, optimizing performance, and troubleshooting production issues while collaborating with product and offshore teams.

The AI Engineer will design and build voice-based generative AI systems in healthcare, collaborate with teams, and ensure clinical safety.

Lead enterprise sales into tier‑1 medical device and MedTech accounts; own full sales cycle from prospecting to close. Partner with Product and Clinical teams to design AI/SaaS solutions, build ROI/business cases, manage pipeline and forecasting, and represent the company at industry events. Travel 20–40% U.S.