A small, well-funded team rethinking how finance leaders interact with their company's numbers.
Senior Data Engineer (AI & Data Products)
We are building a system that gives CFOs a direct line to their financial data — ask a question in plain language, get an answer backed by live, auditable numbers. It sits at the intersection of large language models, structured finance data, and the kind of reliable infrastructure that makes both feel effortless. This role owns the pipelines that turn messy, mission-critical ERP and warehouse data into high-trust AI products. You'll design the retrieval layer, shape how context flows into models, and set the bar for accuracy in a domain where approximation isn't an option.
What they're looking for
- 6+ years of data engineering experience, with deep fluency in Python and strong working knowledge of TypeScript
- Hands-on experience building and maintaining vector search systems (Pinecone, Weaviate, pgvector, or similar) over large-scale structured and semi-structured datasets
- Production-grade command of cloud data warehouses (Snowflake, BigQuery, or Redshift) and relational stores like PostgreSQL, including performance tuning and cost management
- Track record of shipping data products on GCP with robust CI/CD and observability, ideally in a startup or small-team environment
- Comfort working directly with domain experts in finance or accounting to translate opaque business logic into clean, testable data models