About the Role
Hippocratic AI is building the safety-focused large language model for healthcare. As a Deployment Strategist, you’ll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy our AI against the most important problems in healthcare delivery.
Your mission is to synthesize disconnected streams of thought into an understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. You’ll immerse yourself in our customers’ most intricate workflows—across payors, providers, and digital health organizations—and plunge into the product landscape to enable us to scale.
This role requires a curious and analytical approach, a sharp intuition for product, and a strong degree of user insight to ultimately empower our customers to improve decisions and patient outcomes. Healthcare experience is valued but not required—we believe smart, high-agency operators can learn healthcare, and you will be supported by centralized Centers of Excellence across clinical, EHR, payer, and provider domains.
This is a forward-deployed, client-embedded role. You will spend multiple days per week onsite at assigned customer locations, with occasional travel to Hippocratic AI headquarters (Palo Alto, CA) for strategic planning and team sessions.
What You’ll Do
Go onsite and meet with customer analysts, clinical leaders, and operational teams to understand the critical questions they need to answer and locate their biggest problems.
Identify relevant datasets, workflows, and operational bottlenecks through deep engagement with customer problems.
Own end-to-end customer deployments: workflow discovery, solution design, configuration, rollout, adoption, and ongoing optimization.
Work with Forward Deployed Engineers to integrate data into stable and extensible pipelines and ensure smooth technical execution.
Build customized workflows for new user groups across nursing, clinical operations, contact centers, and care coordination.
Lead training sessions to ensure the product is meeting user needs and having concrete impact on operations and patient care.
Drive analytics on deployment performance—measure outcomes, identify bottlenecks, and recommend data-driven improvements.
Present the results of our work and proposals for future work to audiences ranging from analysts to C-suite executives.
Embed with our Product and Engineering teams to incorporate what you see in the field into cross-company product offerings.
Build and deliver demos to new and existing customers.
Report and configure technical specifications
Manage stakeholder relationships from front-line clinical staff to executives, acting as a trusted advisor and execution partner.
Collaborate with internal Centers of Excellence (Clinical, EHR/Epic, Payer, Provider Operations) to bring domain expertise into deployments.
Scope out potential expansion opportunities within existing accounts and new use cases.
What We Require
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 roles.
Demonstrated experience leading complex implementations or customer engagements in fast-paced, ambiguous environments.
Strong analytical and quantitative skills—comfort with data, metrics, and using 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).
Comfort operating autonomously in client-embedded environments with minimal oversight.
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, as mandated by the healthcare facilities where you will be deployed.
Nice-to-Have
Experience in healthcare (health systems, payors, digital health, pharma) or regulated industries.
Familiarity with healthcare data standards (FHIR, HL7), EHR systems (Epic, Cerner), or clinical workflows.
Background at companies with forward-deployed models (Palantir, Stripe, Plaid, Twilio, Cloudflare) or top consulting firms (McKinsey, Bain, BCG).
Experience deploying or scaling AI, ML, or enterprise SaaS products.
Startup experience and comfort building from scratch.
Experience presenting outcomes and best practices at conferences or executive forums
Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.