Laurie Stark

Built an AI-powered jobs data product that scrapes and structures 2M+ postings from 15,000+ company job boards using Claude Code CLI with multi-stage LLM orchestration. Reduced LLM API costs per customer by 85% through pipeline optimization and prompt caching while maintaining match quality. Delivered 5,000+ vetted matches to paying users in first three months and tripled landing-page conversion through user research and UX iteration.

Led strategy, analytics, and data science functions for a $500M+ dual-sided marketplace with 3M+ annual users. Built Kickstarter's product analytics foundation from scratch with 100+ standardized events across web, iOS, and Android, managing complex GDPR/CCPA compliance. Designed and implemented multi-touch attribution model that increased performance marketing revenue by 24%, creator segmentation strategy that boosted creator satisfaction by 18%, and customer segmentation program that increased NPS by 18%.

Drove growth and revenue optimization at a mission-driven publisher growing at the time. Implemented cross-functional feedback loops between editorial, product, and sales that informed content and monetization strategy. Optimized $1M+ ad spend through testing, reducing cost-per-click by 50% and increasing CTR by 30%, while building revenue models guiding strategic decisions through company acquisition.

Drove 2x revenue growth in six months at a viral content producer averaging 3B pageviews monthly through data-driven optimization and cross-functional improvements. Redesigned content recommendation engine that increased engagement and page views per session by 40%. Doubled ad revenue by implementing automated workflows, optimizing campaigns, and establishing feedback loops with editorial and sales.