Data Engineer

ABOUT THE COMPANY Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, and Vercel use Braintrust to compare models, test prompts, and catch regressions — turning production data into better AI with every release. ABOUT THE ROLE Braintrust is growing quickly across enterprise and self-serve customers, and our internal systems need to scale with us. We need someone who can come in, understand the business, and create the data systems that help us operate with clarity. This is a hands-on role and, for now, a solo one. You will not be joining a large data team with mature processes already in place. You will be one of the first people building the data layer for our business operations and systems function, which means you should be comfortable moving between architecture, pipelines, data modeling, metrics definitions, dashboards, and day-to-day business questions. The right person has strong technical depth, understands how GTM teams work, and is excited to build with AI. You should have strong opinions about where agents can automate operational workflows, and the judgment to build the data systems, context, and feedback loops that make those workflows work. You will partner with Product and Engineering on usage data and event schemas, while working closely with Sales, RevOps, Marketing, and Finance on account health, pipeline, retention, expansion, forecasting, and revenue reporting. WHAT YOU WILL DO - Build and own the core data models that connect product usage, accounts, customers, revenue, pipeline, billing, and customer health. - Create trusted sources of truth for the metrics Braintrust uses to run the business, including activation, usage, retention, expansion, pipeline, ARR, and usage-based revenue. - Build pipelines across product telemetry, CRM, billing, custo