CTO

Montauk Capital

. Architect and build Cure's core AI-native platform across models, agent architecture, data, orchestration, APIs, infrastructure, and enterprise integrations .

Posted 9/22/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and building AI-native platforms, focusing on machine learning, personalization, and enterprise integrations. Proven ability to lead technical teams, establish secure and reliable systems, and optimize customer interactions through data-driven decision-making.

Highest-signal resume keywords

AI-Native Platform ArchitectureMachine Learning and PersonalizationEnterprise System IntegrationTechnical Leadership and RecruitingData Pipeline and Feedback Loop Establishment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Language ModelsDialogue SystemsAutonomous AgentsPredictive ModelingExperimentationOptimizationSecurity and ComplianceObservable SystemsDecision ScienceBehavioral Signals

Soft Skills

EmpathyCuriosityResilienceOwnershipUrgency

Industry Keywords

Customer WorkflowsEnterprise IntegrationsRegulated EnvironmentsFinancial OutcomesCustomer Experience

About the role

Key responsibilities & impact

Architect and build Cure's core AI-native platform across models, agent architecture, data, orchestration, APIs, infrastructure, and enterprise integrations
Create conversational agents that understand account context, personalize engagement, negotiate within policy, coordinate across channels, and act through enterprise systems
Build the decisioning and personalization engine using machine learning, decision science, experimentation, and behavioral signals
Establish data pipelines, feedback loops, offline and online evaluations, observability, guardrails, and human-review mechanisms
Design for security, privacy, auditability, explainability, compliance, and reliable performance in regulated environments
Work directly with design partners to understand workflows, deploy quickly, measure financial and customer-experience outcomes, and scale early implementations
Recruit early engineers and applied AI talent and establish scalable technical operating practices

Requirements

What you’ll need

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, predictive modeling, and feedback loops
Ability to choose where models should reason, where deterministic systems should govern, and how humans remain in the loop
Experience integrating into complex enterprise data and workflow environments
Experience building secure, observable, reliable enterprise systems
Commitment to personalized, empathetic, effective, and easy-to-resolve customer interactions
Zero-to-one technical leadership, including architecture, pragmatic tradeoffs, rapid shipping, and recruiting
Founder-level judgment, curiosity, resilience, urgency, and ownership across product, technology, talent, customer deployments, and company-building
Direct collections-industry experience is not required

Benefits

Comp & perks

Access Montauk Capital's capital, network, and company-building expertise during Cure's most formative stage
Opportunity to build a category-defining applied AI platform
Work directly with committed studio support and design partners
Build a product whose advantage compounds through interaction and outcome data