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As a Deployment Strategist at Hippocratic AI, you own healthcare AI deployments end-to-end for health systems, providers, payors, and life sciences organizations. You'll manage defined deployment workstreams and major customer milestones, establishing stakeholder relationships, identifying technical and operational dependencies, and driving measurable value in real clinical and operational environments.
The role bridges strategic partnership and hands-on execution. You'll work alongside engineers, product managers, customer success partners, and clinical experts, serving as both a strategic advisor and execution lead. Success requires understanding clinical and operational workflows, building trust with executive stakeholders, connecting product capabilities to operational needs, and driving technical delivery through ambiguity.
Key responsibilities include: mapping actual care and operational workflows (not documentation), determining which workflows are ready for AI automation, translating operational goals into concrete solution designs, and surfacing technical and operational dependencies. You'll configure and test agent behavior directly using JSON, command line, and version control; validate data accuracy; drive integration, security review, and go-live sequencing; and resolve mid-build ambiguity independently.
Post-launch, you'll establish baselines and quantify impact, build dashboards for operational leaders, earn executive trust to unlock additional workflows, and document learnings to accelerate future deployments. You should expect 25-40% travel for on-site implementation support, customer meetings, training, and go-live activities.
Hippocratic AI is building the world's first healthcare-only, safety-focused LLM platform. The company was co-founded by CEO Munjal Shah and physicians, hospital leaders, and AI pioneers from institutions including El Camino Health, Johns Hopkins, Washington University, Stanford, Google, Meta, Microsoft, and NVIDIA. Recently raised $126M Series C at $3.5B valuation (total funding $404M) with backing from Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, and leading healthcare investors.
REQUIREMENTS:
- 4+ years of relevant experience in deployment, implementation, strategic operations, consulting, solution architecture, or technical program management
- Direct experience serving healthcare customers or working inside a healthcare organization
- Working knowledge of provider-side, payor-side, or life sciences workflows, operations, and organizational dynamics
- Demonstrated ability to reason about data models: interrogate unfamiliar schemas, build or direct analyses, and validate outputs
- Hands-on comfort with engineering systems (JSON files, terminals, command-line coding assistants, git workflows)
- Track record of project-managing complex customer engagements across operational, clinical, IT, and executive stakeholders
- BA/BS in a technical field (engineering, science, analytics, economics, or similar)
NICE TO HAVES:
- SQL
- Epic experience (Clarity, Caboodle, Cogito, or Epic certification)
- Clinical background (RN, BSN, clinical informatics, or similar)
- Forward-deployed, implementation, or solutions work at an AI, data platform, or health-tech company
- HL7 or FHIR fluency
- Experience with utilization management, prior authorization, care management, revenue cycle, or value-based care programs
- Prior exposure to LLM-based or agentic products in production
