CTO, Cure

Role overview

A founding Chief Technology Officer is sought to architect and build an AI-native customer engagement and recovery platform for regulated industries from the ground up. This is a co-founder-level, zero-to-one technical leadership role that blends hands-on product engineering with strategic ownership of architecture, models, data, and enterprise integrations. The leader will work side by side with customers and the CEO to translate high-stakes customer-resolution problems into a next-generation applied AI platform that pairs rapid product velocity with the reliability, explainability, and security that regulated enterprises require.

Responsibilities

- Make foundational technical decisions across models, agent architecture, data pipelines, orchestration, APIs, infrastructure, and enterprise integrations while remaining hands-on in the product - Build conversational agents that understand account context, personalize engagement, negotiate within policy, coordinate across channels, and take action through enterprise systems - Design and ship a decisioning and personalization engine that uses machine learning, experimentation, and behavioral signals to choose the right intervention, message, channel, timing, and resolution path for each consumer - Establish rigorous learning and evaluation systems, including data pipelines, feedback loops, offline and online evaluations, observability, guardrails, and human-review mechanisms - Engineer for enterprise-grade reliability, covering security, privacy, auditability, explainability, compliance, and dependable performance in regulated customer environments - Partner directly with design customers to understand workflows, deploy quickly, measure financial and experience outcomes, and turn early implementations into a scalable platform - Recruit and lead early engineers and applied AI talent, establishing a culture of speed and technical rigor

Requirements

- Track record of building and deploying production systems using language models, dialogue systems, or autonomous agents for complex customer or enterprise workflows - Strong command of personalization, ranking or recommendation, experimentation, optimization, and predictive modeling, plus the feedback loops that improve decisions over time - Applied AI product judgment: knowing where to let models reason, where to keep deterministic controls, and how to keep humans in the loop - Experience integrating into complex enterprise data and workflow environments and building secure, observable, reliable systems - Conviction that next-generation applied AI can make consequential customer interactions more personalized, empathetic, and effective - Zero-to-one technical leadership: comfort moving from ambiguity to architecture to working product, shipping quickly, and attracting outstanding people - Founder-level agency, judgment, curiosity, resilience, and urgency, with willingness to own product, technology, talent, and company-building beyond a conventional engineering remit

Nice to have

- Direct collections-industry experience is not required; interest from technical leaders bringing AI-native software velocity and customer focus into a regulated market is especially welcome

Benefits and work setup

- Opportunity to build the technical foundation for intelligent agents that own outcomes across the customer-resolution journey - A technically demanding problem that combines conversation, reasoning, personalization, decisioning, enterprise action, and trust in one of the most consequential moments in the customer relationship - A product whose advantage compounds with every interaction, improving economics for regulated enterprises and creating better paths to resolution for consumers - Founding-stage support, including capital, network, and company-building expertise during the venture's most formative phase - Remote, US-based position