CTO

Channel Fusion is accelerating its AI-enabled platform strategy and technical organization during a critical growth window. We are seeking a full-time Chief Technology Officer to lead AI strategy, technical modernization, and architecture direction: establishing a rigorous, real-time operating system and measurement framework for engineering that provides visibility into output, quality, and business impact, and building a comprehensive technical foundation that demonstrates platform scalability, architectural maturity, and operational excellence.

This is a full-time, hands-on operating role — not an advisory role.

The CTO owns technology strategy, architecture standards, AI-enabled engineering transformation, cybersecurity and platform-risk direction, technology investment priorities, and enterprise technical readiness. The Head of Engineering reports to the CTO and owns the engineering organization, engineering people leadership, and day-to-day software delivery. The VP, Cloud Security & Client Delivery also reports to the CTO and owns cloud and security operations, compliance execution, service reliability, and client-delivery execution.

The CTO aligns these functions and resolves cross-functional technology, roadmap, security, client, and investment tradeoffs with the CEO and executive leadership team.

• Technical Readiness & Operating Baseline — Build a comprehensive technical foundation that demonstrates platform scalability, architectural maturity, and operational excellence to internal stakeholders and enterprise partners. This includes: stored-procedure inventory, technical debt registry (with owner, business impact, remediation plan for every material item), modernization status evidence (production validation, monitoring, rollback testing, legacy deprecation), and infrastructure/scalability metrics (concurrent users, transactions per minute, multi-tenant support, cost per 1,000 transactions).
• Client Onboarding Scalability — Establish clear metrics and targets for client onboarding efficiency, documentation, and platform-driven configuration to enable faster, more predictable client launches, and build the roadmap to onboard new clients at scale without linear growth in engineering headcount.
• AI Strategy & Productivity — Establish an engineering baseline and launch a controlled AI-assisted delivery pilot within the first 30 days using a live codebase and real delivery workflows. Within the first 90 days, demonstrate measurable improvement in cycle time or throughput without deterioration in quality, security, or production reliability. Define a validated rollout plan for the remaining pods based on pilot results, including projected engineering and AI-tooling economics.
• Architecture Direction — The CTO will initially serve as Channel Fusion's senior architecture authority and assess the technical-leadership model during the first 30 days. The CTO may recommend principal-level architecture capacity where demonstrated workload, technical risk, or delivery leverage justifies it. Any such position will be structured as a hands-on technical role within the engineering organization rather than as an additional management layer.
• Operating Framework — Establish a real-time management system that provides visibility into organizational output: a weekly pod-level scorecard (mission, committed vs. delivered outcomes, revenue/retention supported, team size, work mix, cycle time, quality, loaded cost, and capacity, investment, ownership, and operating recommendations for each pod), and a technology economics model (fully loaded org cost, cost by pod, revenue/retention by pod, AI tooling/token costs, RPE tracking against target, and modeled efficiency, investment, capacity, and…