• You’ll own the metrics and mechanics behind getting jobs completed. • You’ll obsess over job-completion data, design and iterate on our provider nomination and matching logic, and use AI tooling to transform messy, real-world feedback into structured signals that improve the system over time. • You’ll work side-by-side with engineering, mostly in the backend and data layer. • Defining and tracking metrics like match → contact → scheduled → completed, fulfilled vs dropped, and provider completion rates. • Partnering with engineering to tweak and test nomination logic. • Using AI tools to turn unstructured SMS threads and provider/homeowner feedback into structured sentiment and features that feed our models. • Designing when and how we reach out to homeowners and providers (timing, content, state changes) • Writing clear tickets that connect experiments directly to job-completion and customer satisfaction metrics. • Digging into cohort and funnel analyses to understand why jobs are dropping and where we can intervene. • Collaborating with founders, ops, sales, and CS to turn what they’re seeing on the ground into experiments in matching, messaging, and routing.