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Deployment Strategist

Updated

Pay not postedUSRemote

Discover customer workflows and scope solutions that meet operational objectives.

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View posting at Hippocratic AI

At a glance

Posted base pay

Not posted

The work

Plans what the customer deploys first

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations

Travel Up to 40%

Coding
Configuration only
Builds for
External customers
Level
Senior
Role
Technical lead

What they ask for

Experience

  • 4+ yearsRelevant experience in deployment, implementation, strategic operations, consulting, solution architecture, or technical program management

Background

  • Implementation and data engineering
  • Consulting

Tools

  • JSON
  • git
  • SQL
  • Epic
  • Clarity
  • Caboodle
  • HL7
  • FHIR
  • LLMs

Less common in FDE jobs

  • Coding work: Configuration only14%
  • Company stage: Growth16%
  • Company size: About 201–1,000 people19%
  • Fully remote28%

Share of US FDE postings that state each fact.

The job description from Hippocratic AI

Posted by Hippocratic AI on

Deployment Strategist Mission

As a Deployment Strategist at Hippocratic AI, you own healthcare AI deployments end-to-end — from workflow discovery and solution design, through hands-on build/configuration, launch, adoption, and measurable business impact — for health systems, providers, payors, or life sciences organizations. You'll own a defined deployment workstream or major customer milestone: establishing stakeholder relationships, identifying technical and operational dependencies, and driving a clear path to measurable value in real clinical and operational environments.

This role exists because successful AI deployments in healthcare require more than project management alone. It requires someone who understands clinical and operational workflows, can build trust with executive customer stakeholders, can connect product capabilities to operational needs, and can drive hands-on technical execution through ambiguity. You will serve as both a strategic partner and an execution lead — combining technical delivery, healthcare operations fluency, and executive customer partnership to help customers move from interest to implementation to lasting impact.

The Team

You’ll work alongside engineers, product managers, customer success partners, and clinical experts, partnering closely with customers while staying deeply connected to internal cross functional teams. You’ll operate with significant ownership, balancing strategic customer guidance with day to day execution. This is a team that values customer obsession, clear communication, operational rigor, and practical problem solving in real healthcare setting.

What You'll Do

  • Get to the real problem behind what the customer is asking for — understand their business deeply enough to scope a solution that actually meets their objectives
  • Design and build agents capable of handling complex, high-stakes healthcare conversations
  • Map how data moves: from the customer's systems into the conversation, and from the conversation back out as insight. Scope what needs to be built to make that flow work, and partner with engineering to ship it
  • Own the implementation end to end: everything including bringing customer stakeholders along on adopting AI, configuring the agent to their workflows, managing timelines, documenting solutions, and getting ahead of blockers before they become problems. You’ll have a broad set of responsibilities from partnering with customer operational leaders to configuring call schedules.
  • Work with forward deployed engineers to spec new AI features to enhance customer deployments
  • Capture learnings from deployments and turn them into repeatable playbooks, templates, and best practices that improve future implementations
  • Develop analytics and create dashboards to track deployment performance
  • Use deployment insights to inform internal product and process improvements, helping the organization deliver more effectively at scale

Location Requirement

This is a United States-based role open to candidates across multiple markets. We welcome applications from candidates located throughout the U.S. Specific placement, travel expectations, and regional alignment will be determined during the hiring process based on customer proximity, deployment portfolio needs, and your location. You should expect regular travel, typically 25 to 40% depending on deployment schedule, for on site implementation support, customer meetings, training, and go live activities.

Must Haves

  • 4+ years of relevant experience in deployment, implementation, strategic operations, consulting, solution architecture, or technical program management — however that experience was accrued
  • 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: you can interrogate a schema you have not seen before, build or direct an analysis against it, and tell when an output is wrong
  • Hands-on comfort with engineering systems — JSON files, terminals, command-line coding assistants, and git workflows
  • A track record of project-managing complex customer engagements across operational, clinical, IT, and executive stakeholders simultaneously
  • BA/BS in a technical field (engineering, science, analytics, economics, or similar)

Nice to Haves

  • SQL
  • Epic experience, including Clarity, Caboodle, or Cogito work, or Epic certification
  • A 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

Why Join Hippocratic AI

Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.

Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.

Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.

Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.

Equal Opportunity

Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.

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.

View posting at Hippocratic AI

About Hippocratic AI

Builds non-diagnostic, patient-facing clinical AI agents on its Polaris LLM constellation, deployed by health systems, payors, and pharma for safe autonomous patient calls.

Series C · 200–500 people

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Pay and conditions

Posted pay
Pay not posted
Location
US
Work arrangement
Remote
Remote work restrictions
United States-based; placement and regional alignment depend on customer proximity, deployment portfolio needs, and location.
Employment type
Full-time
Travel
Up to 40%
Experience requirements
  • 4+ years: Relevant experience in deployment, implementation, strategic operations, consulting, solution architecture, or technical program management (required)