AI Operations Associate

Flagler Health; New York (NY); On-site; USD 90,000 - 140,000; Full time

Job summary

Flagler Health is hiring an AI Operations Associate to build the AI and automation layer behind its back-office and clinical operations. You will lead the automation roadmap, ship scalable automations, and collaborate with BizOps, RCM, and Product to drive measurable efficiency gains.

You will own data integrations with major EHRs, implement internal AI tooling, and guide vendors and internal teams on reliable production systems.

Qualifications

• 1–3 years in management consulting, software engineering, product management, or a similar analytical/technical role, plus a bachelor's degree.
• Bias toward action: scope ambiguous problems, break them down, and ship a working solution end-to-end.
• Fluency with modern AI tooling (LLMs, agent frameworks, prompt engineering) and a sense of where AI works well vs. breaks down.
• Hands-on API access and light scripting (Python, JavaScript). read code, build automations, and debug.
• Strong written and verbal communication; able to translate between technical and non-technical stakeholders.

Responsibilities

• Own the automation roadmap and deliver measurable operational leverage against it.
• Shadow clinical and back-office teams to identify high-ROI automation opportunities and build repeatable shipping processes.
• Lead data integrations across major EHRs, ensuring error handling and pipeline reliability.
• Match stack to workflow with APIs, portal integrations, and browser/desktop automation for last-mile flows.
• Stand up internal AI tooling and train teammates to use it effectively.
• Scope and manage with automation vendors, ensuring delivery, quality, and reliability.
• Partner with Engineering on integration patterns and data contracts; define what belongs in product vs. ops.
• Enforce documentation, monitoring, and change management for production systems.

Skills

Bias toward action

Communication

Cross-functional collaboration

Ownership mindset

Education

Bachelor's degree

Tools

APIs

Python

JavaScript

Job description

Flagler Health is building the clinical operating system for modern musculoskeletal care.

We partner with MSK provider groups and specialty clinics to help them grow, operate more efficiently, and deliver better longitudinal care across patient acquisition, clinical workflows, and ongoing patient engagement. Our platform sits at the intersection of care delivery and clinic operations, helping providers capture more value across the full patient lifecycle.

We’ve recently raised our Series B and are entering our next phase of growth.

We are hiring an AI Operations Associate to build the AI and automation layer behind Flagler Health's back-office and clinical operations, taking us from ad-hoc scripts and manual workflows to a durable AI ops engine that compounds in value as the company grows.

Reporting to the CEO & CTO, you will own the AI & Automation function while working across BizOps, RCM, and Product to drive measurable operational leverage. You will operate as a player-coach, shipping automations from the front while building the systems, standards, and team that scale them. Success means an operating model that holds up as EHR integrations get more complex and our provider footprint grows.

What You'll Do:

• Own the automation roadmap and deliver measurable operational leverage against it
• Shadow clinical and back-office teams to find the highest-ROI automation opportunities, then build repeatable processes for shipping and monitoring them in production
• Lead data integrations across major EHRs, owning error handling and pipeline reliability
• Match the stack to the workflow: APIs and portal integrations where possible, browser/desktop automation and screen-level robots for last-mile flows
• Stand up internal AI tooling (LLMs, agent frameworks, knowledge assistants) and train teammates to become power users
• Scope and execute with automation vendors, holding them to delivery, quality, and reliability standards
• Partner with Engineering on integration patterns, data contracts, and what belongs in product vs. ops
• Enforce documentation, monitoring, and change management for reliable production systems
• Act as a conduit between operators, clinicians, and internal teams, informing product with workflow-level insight

Required Qualifications:

• 1–3 years of experience in management consulting, software engineering, product management, or a similar analytical/technical role, plus a bachelor's degree.
• Bias toward action: comfortable scoping an ambiguous problem, breaking it down, and shipping a working solution end-to-end.
• Genuine fluency with modern AI tooling (LLMs, agent frameworks, prompt engineering) and a clear sense of where AI works well versus where it breaks down.
• Hands-on technical aptitude with APIs and light scripting (Python, JavaScript, or similar). You don't need to be a senior engineer, but you should be able to read code, write automations, and debug your own work.
• Strong written and verbal communication, able to translate between technical and non-technical stakeholders, and comfort working cross-functionally with an ownership mindset about outcomes rather than scope.

Preferred Qualifications:

• Exposure to healthcare, operations, or other regulated industries. We care more about how fast you learn the domain than what you've already seen
• Experience in high-growth or ambiguous environments
• Familiarity with EHR integrations and clinical or back-office data pipelines
• Nice to have: experience with workflow automation or RPA platforms

Work Environment:

• This role requires regular and consistent in-person collaboration
• We maintain a highly collaborative culture with video-on team meetings and technical discussions

Our Values:

This is what you can expect of your teammates at Flagler:

• Owner: We own our work like founders. We don't wait to be asked, and we pick up the problem nobody else has.
• Builder: We like making things from scratch. We don't need a playbook to start, and we'd rather ship a rough first version than wait on a perfect spec.
• Fast: We make quick decisions. We favor progress and respect process.
• Transparent: We communicate directly. We value merit and honesty, and we challenge assumptions, including our own.
• Curious: We explore new approaches and ask "why" often.