Lead the technology vision, architecture, and engineering roadmap for an AI-enabled healthcare payments platform. Build and launch the MVP, design secure scalable systems, develop AI-powered workflow automation, and integrate healthcare, claims, billing, and payment systems. Recruit and lead the initial engineering team while partnering with founders, investors, advisors, and customers to scale the product from a validated thesis into a commercial company.
The employer is a funded, early-stage venture developing an AI-enabled healthcare payments application designed to improve how healthcare organizations manage payment, claims, and revenue-cycle workflows.
The company improves complex financial workflows across the healthcare ecosystem, including provider-payer payment processes, claims workflows, revenue cycle operations, payment reconciliation, denials, and administrative automation.
Their platform uses AI, workflow automation, data integrations, and secure infrastructure to reduce manual work, improve accuracy, accelerate payment processes, and create better visibility across healthcare financial operations.
They are looking for an extraordinaire hands-on CTO to lead technology, product architecture, and engineering execution for a new AI healthcare payments company.
This is not an advisory CTO role but one of a hands-on technical leader who can build the product, architect the platform, recruit the early engineering team, and move quickly from MVP to scalable commercial product.
Education :
Bachelor’s degree in Computer Science, Engineering, or a closely related field.
Experience :
- Experience building products from zero to one.
- Ideally Former founder or early technical leadership experience (Not mandatory).
- Structured technical training in computer science, engineering, or a related field.
- Led end-to-end 0→1 product development and launched an MVP into production where you personally contributed to core technical deliverables and system architecture.
- Built and scaled an early engineering organization: recruited the first engineers, owned the technology vision and roadmap, and delivered engineering execution from MVP toward a scalable commercial product.
- Delivered products in regulated, transaction-heavy domains (preferably healthcare payments/RCM/fintech) or equivalent complex workflow environments—owning integrations, secure/scalable system design, and AI-enabled workflow automation for payment/claims/reconciliation workflows.
Key Competencies :
- 0→1 product development & hands‑on engineering: proven ability to personally build an MVP and ship production software (founding/early‑engineer level).
- Software architecture & AI/automation systems design: designing secure, scalable architectures that embed AI/ML and workflow automation for transaction‑heavy pipelines.
- Domain & leadership combo: healthcare payments / revenue‑cycle (RCM) domain understanding plus early‑stage engineering leadership (recruiting and leading the first engineers).
Software tools and Technology :
- Cloud infrastructure & container orchestration — admin / operator : design and operate secure, scalable production environments, CI/CD, and deployment for a HIPAA-sensitive SaaS platform.
- AI/ML frameworks & data pipelines — advanced / power user : build model training/inference pipelines, feature/ETL workflows, model serving and observability for AI-enabled workflow automation.
- Healthcare interoperability, claims & payments integrations — working / intermediate : implement data ingestion/normalization and secure integrations with EMR/claims/billing/payment systems for revenue-cycle workflows.
Areas of focus :
Claims and payment workflow automation
Provider-payer financial operations
Revenue cycle and reimbursement workflows
Denials, reconciliation, and payment exceptions
Healthcare data ingestion and normalization
Secure integrations with healthcare, billing, claims, and payment systems
AI-assisted decisioning, workflow routing, and operational intelligence
Relocation Assistance : Relocation package available
Visa sponsorship eligibility : Not included
MISSIONS
- Own the technology vision, architecture, and engineering roadmap
- Build and launch the initial product
- Evaluate and select the technical stack
- Design secure, scalable systems for healthcare payment workflows
- Build AI-enabled workflow automation into the product from the beginning
- Lead integrations with healthcare, claims, payment, billing, and data systems
- Recruit and lead the early engineering team
- Work directly with the CEO, investors, advisors, and early customers
- Turn a validated thesis into a scalable commercial product and company
Requirements
Up to 10 years of professional experience
Built and launched a software product from concept/MVP to production.
Strong coding background with experience designing scalable, secure systems.
Experience building AI-powered products, automation platforms, or intelligent workflow systems.
Understanding of claims, payments, reimbursement workflows, financial operations, or other transaction-heavy regulated environments.
Experience hiring, building, and leading engineering teams while owning the technology roadmap.
Graduate of top 10 School (examples given Penn, Columbia, UChicago, etc.).
CTO, VP Engineering, Head of Engineering, founding engineer, or senior architecture experience.
Startup or high-growth company exposure.
Hands-on technical credibility.
Ability to lead product and engineering strategy.
Experience with AI, data, infrastructure, platform, SaaS, or scalable systems where relevant
Ability to communicate well with founders, investors, and executive stakeholders.
Benefits
Benefits/perks :
15–20% equity on top of base salary
Committed day-one capital
A focused healthcare AI thesis (interest in healthcare and/or healthcare IT)
Direct access to experienced operators, investors, advisors, and commercial resources
The ability to build a company with meaningful impact in healthcare
Conditions :
Permanent role
Salary : $140K–$150K
Interview Process :
Recruiter phone screen
Technical interview (virtual)
Final technical interview (onsite)
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