Promoted from Senior Director of Engineering to take the AI-first model company-wide. Senior-most technology executive, reporting to the COO and presenting weekly to the C-suite and CEO; owns engineering, infrastructure, IT, and compliance.
- Rebuilt engineering around AI agents: 6 engineers, down from 30, now direct agents that write about 90% of the code, with fewer escaped defects, shorter cycle time, and roughly twice the merged-PR and feature throughput.
- Put 12 AI initiatives into production across five business units (support, operations, marketing, retail, and engineering), selected for high volume, a clear definition of a correct answer, and a safe human fallback.
- Moved first-line support to AI chat and real-time voice agents that resolve inquiries end to end, reducing support headcount 80% as the remaining staff became the agents' supervisors.
- Established company-wide AI governance policies, with every AI system inventoried, owned, and audited under SOC 2 Type II and ISO 27001.
- Gate every agent release with LLM-as-judge evaluation suites and human PR review; a supervisor agent grades live conversations, and hosted models are A/B tested against quantized local models on quality, latency, and cost.
- Built an AIOps harness: agents watch Datadog, diagnose production issues, and open fix pull requests for human review, plus a daily anomaly review of transaction volumes.
- Cut projected annual infrastructure spend 50% through AI-driven ECS container placement and improved resource autoscaling strategies.







