CTO, Cure

We are seeking a founding Chief Technology Officer and co-founder to architect and build Cure's AI-native platform from the ground up. This leader will own the technical vision, product architecture, and engineering execution required to create personalized agents that can understand context, reason over enterprise data and policy, engage consumers naturally, and take reliable action across complex recovery workflows. This is a hands-on building role for a deeply product-oriented technical founder. The CTO will work directly with customers and the CEO to translate high-stakes customer-resolution problems into a next-generation applied AI platform.

Responsibilities

Architect and build the core platform, making foundational decisions across models, agent architecture, data, orchestration, APIs, infrastructure, and enterprise integrations while remaining deeply hands-on in the product; Create intelligent agents for customer resolution that understand account context, personalize engagement, negotiate within policy, coordinate across channels, and take action through enterprise systems; Build the decisioning and personalization engine that applies machine learning, decision science, experimentation, and behavioral signals to determine the right intervention, message, channel, timing, and resolution path for each consumer; Create a rigorous learning and evaluation system with data pipelines, feedback loops, offline and online evaluations, observability, guardrails, and human-review mechanisms; Deliver enterprise-grade reliability and trust by designing for security, privacy, auditability, explainability, compliance, and dependable performance; Build with customers by working directly with design partners, deploying quickly, measuring financial and customer-experience outcomes, and turning early implementations into a scalable platform; Build the technical organization by recruiting early engineers and applied AI talent, establishing a culture of speed and technical rigor, and developing systems and operating practices required to scale

Requirements

Conversational AI and agentic systems experience: a record of building and deploying production systems that use language models, dialogue systems, or autonomous agents to complete complex customer or enterprise workflows; Machine learning and decision-science depth: strong command of personalization, ranking or recommendation, experimentation, optimization, predictive modeling, and feedback loops; Applied AI product judgment: the ability to choose where models should reason, where deterministic systems should govern, how humans remain in the loop, and how to translate emerging capabilities into dependable products; Enterprise platform experience: integrating into complex data and workflow environments and building secure, observable, reliable systems that enterprise customers can trust; Customer-experience conviction: a strong commitment to using next-generation applied AI to make consequential customer interactions more personalized, empathetic, effective, and easy to resolve; Zero-to-one technical leadership: comfort moving from ambiguity to architecture to working product, making pragmatic tradeoffs, shipping quickly, and attracting outstanding people; Founder-level agency: exceptional judgment, curiosity, resilience, urgency, and willingness to own product, technology, talent, customer deployments, and company-building beyond a conventional engineering remit

Nice to have

Direct collections-industry experience is not required

Benefits

Access to Montauk Capital's capital, network, and company-building expertise during Cure's most formative stage