Jobs at Hippocratic AI

Lead Hippocratic AI's social media presence across LinkedIn, TikTok, and X: build TikTok from scratch, create executive and brand content, produce short-form video and graphics, manage content calendar and influencers, source stories from cross-functional teams, use AI agents and analytics to optimize performance, and support broader comms and marketing deliverables.

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.

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.

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.

Embed as the onsite customer success lead for a health system, owning post-sale delivery, implementations, training, adoption, relationship management, workflow optimization, and metrics to drive measurable clinical and operational outcomes.

Lead a regional portfolio of health system partnerships, manage and grow a team of Directors and senior CS leaders, drive net revenue retention and expansion, own enterprise implementations and change management, build scalable CS playbooks, and represent the company at industry forums. Onsite role based in Tampa Bay, FL with occasional travel to Palo Alto.

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.

Act as an embedded, onsite customer success lead at client health systems to run post-sale delivery, implement and scale AI solutions, train clinical staff, drive adoption, measure outcomes, and collaborate with product, sales, and engineering to improve workflows and patient care.

Lead a regional portfolio of health system partnerships and a team of Directors/senior CS executives. Own executive client relationships, enterprise implementations, change management, and net revenue retention. Build playbooks, drive expansion sales, collaborate with Product/Engineering/Sales, represent the company externally, and support regional hiring and team development. Onsite role in Seattle with occasional travel to Palo Alto.

Drive data-informed decisions through operational reporting, dashboarding, and performance analysis. Split focus on data quality and business reporting, run SQL/Python analyses, build dashboards, produce recurring and ad-hoc reports, and partner with cross-functional GTM and customer teams to surface insights that improve product usage and 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.

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 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.

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.

Lead culture architecture by translating five leadership principles into observable behaviors, embedding them into hiring and performance systems, and building a Voice of Hippocratic AI listening engine. Influence without direct authority to train interviewers, design rubrics, run calibration, and surface culture insights to founders and leaders. Role is a senior IC, full-time onsite at Menlo Park.

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.