Turning the
ship around.
Turned around Qtest on every front, from technology and engineering practices to people and business, and rebuilt it for AI-agentic delivery.
- Increased delivery throughput
- 300%
- Reduced L2 support MTTR
- −35%
- Reduced non-COGS
- −50%
The wider remit
- Led a product organisation of approximately 80 ICs and $80M+ ARR.
- Protected $5M+ in at-risk ARR and increased retention from 80% to 92%, making qTest the company’s lowest-churn product.
- Made qTest the company’s most secure and cloud-native offering by setting technical direction across scalability, resilience, data isolation and observability.
- Tripled roadmap delivery throughput and reduced support MTTR by 35% by leading the shift to an AI-native software development lifecycle.
- Embedded AI from discovery and specification through code review, security, testing, deployment and operations, and deployed autonomous agents to eliminate toil and fix bugs and L2 tickets.
- Accelerated AI product innovation by creating a startup-like team outside the legacy organisation to move faster and earn Gartner recognition.
- Cut non-COGS spend by 50% ($500k a year) by adopting ephemeral environments and moving testing from the cloud to local hardware.
- Reduced release cycles from months to hours by leading an organisation-wide transition to continuous delivery.
- Shifted engineering from firefighting to systematic root-cause remediation with a dedicated team.
- Platformised shared data and event infrastructure for use across products and customer integrations.
Role ended in 2026 as part of broader layoffs.
