Note: The job is a remote job and is open to candidates in USA. Montauk Capital builds and backs companies focused on electrified, intelligent technologies and is supporting Cure, an AI-native customer engagement and recovery platform for regulated industries. Cure is seeking a founding CTO and co-founder to architect its AI-native platform, build intelligent agents and decisioning systems, ensure enterprise-grade reliability and trust, work directly with customers, and establish the technical organization.
Responsibilities
- Architect and build the core platform. Make 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. Build conversational agents that understand account context, personalize engagement, negotiate within policy, coordinate across channels, and take action through enterprise systems
- Build the decisioning and personalization engine. Apply 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. Establish the data pipelines, feedback loops, offline and online evaluations, observability, guardrails, and human-review mechanisms required to improve outcomes safely over time
- Deliver enterprise-grade reliability and trust. Design for security, privacy, auditability, explainability, compliance, and dependable performance across consequential workflows and regulated customer environments
- Build with customers. Work directly with design partners to understand workflows, deploy quickly, measure financial and customer-experience outcomes, and turn early implementations into a scalable platform
- Build the technical organization. Recruit exceptional early engineers and applied AI talent, establish a culture of speed and technical rigor, and develop the systems and operating practices required to scale
Skills
- • 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 the feedback loops that improve decisions over time
- • 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. 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 to build alongside you
- • 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
Benefits
- Remote work arrangement; US based
- Build a category-defining applied AI platform
- Solve a technically demanding, consequential problem
- Create a product whose advantage compounds
- Access Montauk Capital's capital, network, and company-building expertise during Cure's most formative stage
Company Overview