Hands-on CTO

CTO Opportunity In AI Healthcare Payments

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: 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)