Technology

Lead a global engineering organization of 60+ spanning software development, SRE, IT Services, Security/Compliance, and Customer Support. Snowplow is the leader in customer data infrastructure for AI, processing trillions of behavioral events per quarter for 240+ enterprise customers across AWS, Azure, and GCP.

• Launched Snowplow Signals — a new product delivering real-time behavioral context to AI agents and personalization engines, enabling B2B SaaS and marketplace customers to build agentic intervention systems with a "Bring Your Own Model" architecture; served as executive sponsor through the full product lifecycle from concept to GA.
• Delivered multiple new product lines including Event Forwarding, Real-Time Identity (cross-device identity resolution at pipeline speed), and a fully self-hosted / private managed cloud offering for enterprise security requirements.
• Led the company-wide cultural transformation to agentic software development practices — deploying AI coding tools across all engineering teams and establishing Claude Code-based development processes, achieving 30%+ productivity improvements.
• Ran SnowStorm, Snowplow's engineering hackathon program, achieving a 5× increase in project submissions, most of which fed directly into the product roadmap.
• Achieved SOC 2 Type II and ISO 27001 compliance across all cloud infrastructure while scaling engineering capacity and launching new product lines.

Led 100+ engineers across the global CDP One SaaS development, SaaS Ops automation, and Global SRE organizations operating three PaaS control planes across U.S., EU, and APAC regions.

• Grew CDP One SaaS business by 80% in 2022 with a 30-engineer global team.
• Managed 300+ nodes in single-tenant customer deployments supporting millions of analytic workload jobs per month.
• Spearheaded automation pipelines enabling customer SaaS deployments to be upgraded every 90 days via orchestration.

Acquired by Cloudera, June 2021. Led 30+ SWEs, SREs, and Customer Success teams delivering fully managed SaaS Data Lakes and Machine Learning applications in AWS and Azure across 7 global regions.

• Delivered 1M+ big data jobs per month with a 99.95% system availability SLA; achieved 75% revenue growth in 3 years while maintaining level headcount.
• Optimized cloud infrastructure spend, achieving a 30%+ reduction in monthly cloud costs.

Scaled engineering from 5 to 40+ individuals across software development, security, QA, customer support, and documentation. Served as Chief Product Owner for product strategy, roadmap, and IP.

• Grew revenue backlog to $30M+ within 5 years.
• Filed and received 4 awarded patents; served as InfoWorld columnist on real-time computing.