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Senior Staff R&D Software Engineer, Fivetran AI

Fivetran
Hybrid - Denver, CO, 2 days/weekUpdated 2d ago
Compensation
$220k–$275k
Published range
Location
Hybrid - Denver, CO, 2 days/week
Remote eligibility
Employment
Full-time
Staff / Principal
Role family
Engineering
Developer tools
Role skills
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About the job

Fivetran is building the governed context layer for AI agents. We are looking for a Senior Staff R&D Software Engineer to join our fast-growing Fivetran AI team. The team builds 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.

Responsibilities

  • Identify which emerging AI research and techniques are worth pursuing and set the technical roadmap.
  • Prototype new ideas and turn them into production-grade features.
  • Define technical direction across Fivetran AI and collaborating departments.
  • Build and maintain back-end and front-end systems, from Agents Schema pipelines to the Context Catalog UI.
  • Set long-term technical vision for capabilities like AISQL.
  • Take ownership of production reliability, including on-call and incident response.
  • Set engineering quality standards and mentor senior and staff engineers.
  • Use coding agents to automate repetitive tasks.
  • Represent Fivetran AI in cross-department planning and contribute to hiring.

Qualifications

  • 10+ years of programming experience across Python and/or Java.
  • Trusted expert able to influence direction across departments.
  • Comfortable reading AI/ML research and turning findings into prototypes and production systems.
  • Deep 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 senior and staff engineers.
  • Thrives in a startup-like environment.

Bonus Skills

  • 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) and building data connectors.
  • Experience with AWS, GCP, Kubernetes, or Docker.
  • Contributions to open source AI or data projects.

Compensation

Denver Pay Range: $219,705.50—$274,631.75 USD.

Benefits

  • 100% employer-paid medical insurance
  • Generous PTO, paid sick time, parental leave, holidays
  • RSU stock grants
  • Professional development and training opportunities
  • Monthly cell phone stipend
  • Mental health support platform

Skills & tags

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