Set technical direction for the personalization service (NestJS/TypeScript, MongoDB, Apollo GraphQL federation), including the real-time trait ingestion and activation-hub re-architecture
Design and review the systems that power Switchboard, our internal targeting and config layer built on top of Statsig, for personalized slot delivery
Own the hard technical calls on trait ingestion and activation logic that feeds real-time personalization decisions across buyer surfaces
Mentor L3/L4 engineers on the team and represent Personalization in cross-squad technical discussions, including with Intelligence
Use AI coding agents (Claude Code, Cursor, or similar) daily to accelerate feature work, technical design, and code review
Define guardrails and scaffolding that keep agent-generated code aligned with our architecture, testing, and data-handling standards
Evaluate agent output quality, iterate on prompts and workflows, and bring a point of view on where agentic tooling fits into the team's day-to-day
Intelligence (cross-squad support)
Pitch in on marketing attribution and enhanced conversion tracking work, primarily dbt models running against Snowflake
Help triage data quality issues flagged by Monte Carlo observability monitors