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About the Role

We are seeking a hands-on CTO to lead technology, product architecture, and engineering execution for a new AI healthcare payments company. This role involves building the product, architecting the platform, recruiting the early engineering team, and scaling from MVP to a commercial product.

Responsibilities

• 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
• 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

Skills

• 0→1 product development & hands‑on engineering
• Software architecture & AI/automation systems design
• Domain & leadership combo: healthcare payments / revenue‑cycle (RCM) domain understanding plus early‑stage engineering leadership
• Cloud infrastructure & container orchestration — admin / operator
• AI/ML frameworks & data pipelines — advanced / power user
• Healthcare interoperability, claims & payments integrations — working / intermediate

Location

• Onsite (Final technical interview)

Work Type

• Permanent role
• Full-time

Experience Level

• Up to 10 years of professional experience
• Early-stage
• Founding/early-engineer level

Education Level

• Bachelor’s degree in Computer Science, Engineering, or a closely related field
• Graduate of top 10 School

Salary/Compensations

• $140K–$150K

Benefits

• 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
• Relocation package available

About the 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.

Equal Opportunity

• Not included