Senior Director of Engineering
SugarCRM
350%
Throughput increase
25%
Infrastructure cost reduction
20%
Developer velocity via AI
- Led AI-native platform engineering and data science teams for $100M+ SaaS CRM company (500 employees), managing a global organization of 26 engineers through 5 managers.
- Led the design and delivery of a multi-tenant AI platform on AWS Bedrock through beta release, encompassing RAG pipelines, agent orchestration, prompt management, and LLM observability across the SugarCRM product suite.
- Built a three-tier AI adoption framework and drove GitHub Copilot deployment across the engineering organization, delivering a measured 20% increase in developer velocity; established evaluation and governance infrastructure for expanded GAI tooling to scale toward agentic workflows.
- Led modernization from monolithic .NET to containerized Python microservices and AWS serverless architecture (ECS, Lambda, Step Functions), increasing system throughput by 350% while reducing infrastructure costs by 25%.
- Delivered complex, multi-team product roadmaps on time and within budget, driving 17+ major releases annually with less than 10% sprint variance and 5% carryover.
- Scaled global engineering organization by 150%, with 90% retention; mentored 8 engineers into senior/staff roles and promoted 3 to engineering manager positions.
- Implemented quality-first engineering with automated testing frameworks (Cypress, Virtuoso, PyTest) achieving 90% code coverage across critical platform components.
- Drove platform integration strategy unifying disparate systems into cohesive CRM ecosystem, supporting a 25% improvement in customer retention metrics.
- Managed $2M annual engineering budget and P&L responsibility for platform infrastructure, optimizing cloud spend and vendor contracts.