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CTO

Startup Talents


Job Location:

New York City, NY - USA

Monthly Salary: USD 140 - 150
Experience Required: 10years
Posted: 16 July 2026 (30+ days ago)
Application Deadline: 13 October 2026
Vacancies: 1 Vacancy

Job Summary

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 :

Bachelors 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 01 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 environmentsowning integrations secure/scalable system design and AI-enabled workflow automation for payment/claims/reconciliation workflows.



Key Competencies :

- 01 product development & handson engineering: proven ability to personally build an MVP and ship production software (founding/earlyengineer level).
- Software architecture & AI/automation systems design: designing secure scalable architectures that embed AI/ML and workflow automation for transactionheavy pipelines.
- Domain & leadership combo: healthcare payments / revenuecycle (RCM) domain understanding plus earlystage 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 :
1520% 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)






Required Skills:

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.