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Lead enterprise customer success for major health system partnerships: manage executive relationships, drive implementations and workflow adoption, build scalable CS playbooks and metrics, mentor and grow a team, and represent the company at industry events.

Lead end-to-end RL and on-policy distillation post-training for healthcare LLMs: design RL/OPD methods, build reward models and verifiers, create conversational RL environments, automate post-training loops, run experiments, and collaborate with research, engineering, and clinical teams to improve safety and clinical reasoning.

Lead end-to-end post-training for LLMs using reinforcement learning and on-policy distillation to improve clinical reasoning, safety, and alignment. Design RL/OPD methods, build reward models and verifiers, create healthcare conversational environments with synthetic data, automate post-training loops, run experiments, and collaborate with research, engineering, and clinical teams to deploy models at scale.

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.

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.

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.