Job Overview
Location
United States
Job Type
Full-time
Category
Data Science
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Embed onsite at customer locations across payors, providers, and digital health organizations to understand critical clinical and operational challenges.
- • Conduct deep engagements with customer analysts, clinical leaders, and operational teams to identify key problems, workflows, and data bottlenecks.
- • Own end-to-end deployment of AI solutions including workflow discovery, solution design, configuration, rollout, user adoption, and continuous optimization.
- • Collaborate with Forward Deployed Engineers to integrate customer data into stable, extensible data pipelines for reliable technical execution.
- • Design and implement customized workflows tailored to user groups including nursing staff, clinical operations, contact centers, and care coordination teams.
- • Lead training sessions to ensure product adoption and measurable impact on clinical operations and patient outcomes.
- • Analyze deployment performance using metrics and data to identify bottlenecks, measure outcomes, and recommend data-driven improvements.
- • Present deployment results, impact metrics, and future recommendations to audiences ranging from front-line staff to C-suite executives.
- • Act as a trusted advisor and execution partner by managing relationships with stakeholders across clinical, IT, and executive levels.
- • Work closely with internal Centers of Excellence (Clinical, EHR/Epic, Payer, Provider Operations) to apply domain expertise to customer deployments.
- • Scope and propose expansion opportunities within existing accounts and identify new use cases for AI deployment.
- • Build and deliver customized demos to new and existing customers to showcase product capabilities and value.
- • Report and configure technical specifications based on field insights and customer requirements.
- • Translate on-the-ground user feedback and operational insights into product improvements for Engineering and Product teams.
- • Travel 25–50% of the time, including overnight and out-of-state trips, to support client deployments and occasional strategic sessions at Hippocratic AI headquarters in Palo Alto, CA.
- • Satisfy client-specific credentialing requirements including drug screening and proof of required vaccinations or immunizations as mandated by healthcare facilities.
🎯 Requirements
- • Bachelor’s degree from an accredited university
- • 2–5 years of experience in customer-facing deployment, implementation, professional services, consulting, solutions engineering, or technical program management
- • Demonstrated experience leading complex implementations or customer engagements in fast-paced, ambiguous environments
- • Strong analytical and quantitative skills with comfort using data, metrics, and analytics to drive decisions
- • Experience with programming, scripting, or analytical tools (e.g., Python, R, SQL, Excel)
- • Excellent communication and stakeholder management skills across diverse audiences (clinical staff, IT, executives)
- • Ability to travel 25–50%, including overnight and out-of-state trips
- • Ability to satisfy client-specific credentialing requirements, including drug screening and proof of required vaccinations or immunizations
🏖️ Benefits
- • Opportunity to work with a mission-driven team building safety-focused AI for healthcare
- • Support from centralized Centers of Excellence across clinical, EHR, payer, and provider domains
- • Forward-deployed, client-embedded role with direct impact on patient outcomes
- • Exposure to cutting-edge AI/ML and enterprise SaaS deployment in regulated healthcare environments
Skills & Technologies
About Hippocratic AI Inc.
Hippocratic AI develops safety-focused large language models specifically for healthcare. Its non-diagnostic generative AI handles patient-facing tasks such as chronic care check-ins, medication adherence calls, appointment scheduling, and post-discharge follow-up, operating under evidence-based clinical safeguards and regulatory-grade risk management. The company trains models on peer-reviewed literature, clinical guidelines, and simulated patient conversations, then validates them with licensed clinicians. Founded in 2022 and headquartered in Palo Alto, California, Hippocratic AI partners with health systems, payers, and digital health companies to reduce staffing shortages and improve access to care without compromising patient safety or privacy.
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