About the role
About Artisan
We're building AI employees. Not chatbots. Not copilots. Autonomous digital workers that do real jobs.
Our first, Ava, is an AI BDR used by hundreds of companies. She researches leads, writes and sends emails in a customer's voice, runs multi-step outbound sequences, manages her own deliverability infrastructure, self-optimizes over time, and handles objections and meeting booking. She's not a tool someone uses. She's a teammate.
We're a YC W24 company, have raised $35M+ from investors including Y Combinator, and are at $9M+ ARR. We just launched Ava 2.0, a step change in what an AI employee can do. The engineering problems are hard and the surface area is enormous.
Role overview
You'll be the first Data Engineer on the Artisan team! We're managing a database of hundreds of millions of leads and creating real-time intent signals which monitor data fields for those leads. You'll own everything data-related at Artisan.
- Design, build, and maintain scalable data pipelines that process and transform large volumes of structured and unstructured data
- Manage ingestion from third-party APIs, internal systems, and customer datasets
- Develop and maintain data models, data schemas, and storage systems optimized for ML and product performance
- Collaborate with ML engineers to prepare model-ready datasets, embeddings, feature stores, and evaluation data
- Implement data quality monitoring, validation, and observability
- Work closely with product engineers to support new features that rely on complex data flows
- Optimize systems for performance, cost, and reliability
- Contribute to early architecture decisions, infrastructure design, and best practices for data governance
- Build tooling that enables the entire team to access clean, well-structured data
San Francisco, New York, or Remote USA
