RevenueBase: We're building the data infrastructure that makes AI agents trustworthy instead of error-prone. We provide continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows. We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive. We power AI agents for Clay, Zoominfo, Dun & Bradstreet, and the next generation of AI GTM tools. About the Role We are looking for a Senior Data & AI Platform Engineer to build internal tools and services on top of our large-scale data infrastructure. Your primary focus will be developing systems that leverage vector embeddings, LLM APIs, and semantic search to unlock value from structured and unstructured data. This is a hands-on engineering role for someone who enjoys building practical AI-powered tools — not just experiments — and shipping them into production in a fast-moving startup environment. What You’ll Do Design and build data-driven tools that operate on large datasets stored in S3 and Snowflake Implement pipelines that: Extract specific columns or datasets from Snowflake Generate vector embeddings via APIs such as OpenAI Store and manage embeddings in vector data
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