Staff R&D Software Engineer, Fivetran AI

Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join the fast-growing Fivetran AI team. The team is building the governed context layer that solves the problem of agents needing explicit, codified, and traceable context. This includes Agents Schema, an open standard for storing agent-ready context in the customer's data warehouse, and Context Builder, the managed service that keeps it filled and fresh.

• Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what's worth pursuing for the roadmap.
• Prototype new ideas and turn them into shipped, production-grade features.
• Define technical direction spanning multiple teams within Fivetran AI.
• Build and maintain back-end and front-end systems, from Agents Schema pipelines to the Context Catalog UI.
• Drive the AISQL capability: natural language to SQL grounded in dbt metric definitions.
• Take ownership of production reliability: on-call, incident response, and SRE work.
• Set testing and QA standards, and do hands-on QA work.
• Use coding agents to automate repetitive tasks.
• Mentor other engineers and contribute to hiring.

• 8+ years of programming experience across Python and/or Java.
• Trusted expert able to define technical direction across multiple teams.
• Comfortable reading AI/ML research and turning findings into prototypes and production systems.
• Strong product and market awareness.
• Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar).
• Willingness to work across the full stack: research, backend, frontend, SRE, and QA.
• Experience using coding agents or similar AI tooling.
• Demonstrated ability to mentor other engineers.

• Experience with LLM-powered applications (RAG pipelines, embeddings, evaluation frameworks, agent frameworks).
• Familiarity with semantic layers (dbt, LookML, Sigma).
• Experience with MCP ecosystem or AI agent integrations.
• Background in site reliability engineering.
• Experience in data processing (ETL/ELT) or building data connectors.
• Experience with AWS, GCP, Kubernetes, or Docker.
• Contributions to open source AI or data projects.

Pay Range: $183,711—$229,638.75 USD

• 100% employer-paid medical insurance
• Generous PTO, paid sick time, inclusive parental leave, holidays (including Global Week of Rest), and volunteer days off
• RSU stock grants
• Professional development and training opportunities
• Monthly cell phone stipend
• Access to mental health support platform