Overview
Our client is a global, high-growth conversational AI and customer engagement platform, seeking a visionary, battle-tested Chief Technology Officer (CTO) to lead its global engineering organization. Serving as a direct strategic peer to the Founder & CEO, you will hold ultimate accountability for the technical vision, application infrastructure, and product architecture as the platform scales upmarket. You will lead a distributed global engineering team, turning complex business challenges into concrete technical solutions.
What you will do:
- Own the end-to-end technical strategy, architecture, and roadmap across real-time multi-channel messaging platforms, CRM systems, and AI orchestration engines.
- Serve as a strategic thought partner to the Founder & CEO—articulating technical trade-offs, driving critical architectural decisions, and providing constructive pushback on key initiatives.
- Lead, scale, and mentor a distributed, multi-region engineering organization, building autonomous team structures to eliminate key-person dependencies.
- Drive the production AI strategy, deploying dependable LLM and agentic workflows with strict evaluations, guardrails, and accuracy benchmarks rather than mere prototypes.
- Bridge technical priorities with commercial outcomes, aligning engineering roadmaps directly with revenue, customer retention, and go-to-market priorities.
- Implement enterprise-grade reliability engineering, multi-tenancy safeguards, security frameworks, and performance standards to support mid-market and enterprise growth.
What you will need:
- 8+ years of software engineering experience with a proven track record as the final technical decision-maker and executive leader.
- Demonstrated history of direct executive partnership with CEOs, with the communication skill and confidence to challenge assumptions and defend sound technical strategies.
- Deep production AI experience, including building, evaluating, and scaling LLM and agentic systems in live enterprise environments.
- Solid technical problem-solving capabilities—remaining hands-on enough to guide complex system design, lead whiteboard architectural sessions, and debug high-level issues.
- Strong product and commercial acumen, with a history of connecting engineering output directly to business KPIs alongside Product and GTM leadership.
- Proven success building, scaling, and retaining distributed engineering teams while instilling rigorous reliability engineering metrics (uptime, security, performance).
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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