2 months ago
Base Salary
$164k - $197k/yr
Responsibilities
- Research retrieval, reasoning, and agentic AI techniques and evaluate their relevance to the product roadmap.
- Prototype promising ideas and turn validated concepts into production-grade features.
- Build and maintain backend and frontend systems, including Agents Schema pipelines and the Context Catalog UI.
- Contribute to AISQL, enabling natural-language-to-SQL queries grounded in dbt metric definitions and executed against the warehouse.
- Own production reliability through on-call, incident response, and SRE work.
- Write and maintain tests and perform hands-on QA.
- Use coding agents to automate repetitive engineering work.
- Partner with product and design to shape the product roadmap using AI tooling market knowledge.
- Develop software designs and contribute to the technical roadmap.
- Participate in the hiring and interview process.
Requirements
- At least 5 years of programming experience across Python and/or Java, with the ability to move between backend and frontend work.
- Experience reading AI/ML research and translating promising findings into working prototypes.
- Experience with SQL and data warehouses such as BigQuery, Snowflake, or Databricks.
- Ability to work across research, backend, frontend, SRE, and QA according to team needs.
- Experience using coding agents or similar AI tooling to accelerate engineering work.
- Ability to execute complex, ambiguous work with minimal hand-holding and improve unfamiliar codebases.
- Strong product and market awareness for evaluating emerging AI techniques.
- Experience with LLM-powered applications, RAG pipelines, embeddings, evaluation frameworks, or agent frameworks is a bonus.
- Familiarity with semantic layers such as dbt, LookML, or Sigma is a bonus.
- Experience with MCP or AI agent integrations is a bonus.
- Background in site reliability engineering, including monitoring, alerting, or incident response, is a bonus.
- Experience with ETL, ELT, data connectors, AWS, GCP, Kubernetes, Docker, or open-source AI and data projects is a bonus.
Benefits
- Full-time hybrid position based in Denver, Colorado, with two days in the office each week.
- 100% employer-paid medical insurance, subject to country and worker type.
- Generous paid time off, paid sick time, inclusive parental leave, holidays, and volunteer days off.
- RSU stock grants.
- Professional development and training opportunities.
- Company virtual happy hours, free food, and team-building activities.
- Monthly cell phone stipend.
- Access to a mental health support platform offering therapy, coaching, and mindfulness resources for employees and dependents.
Tech Stack
AWSDatabricksdbtDockerGoogle BigQueryGoogle Cloud PlatformJavaKubernetesPostgreSQLPythonReactSnowflakeSQLTypeScript
Categories
About Fivetran
Fivetran, the global leader in data movement, helps customers use their data to power everything from AI applications and ML models, to predictive analytics and operational workloads. The Fivetran platform reliably and securely centralizes data from hundreds of SaaS applications and databases into any cloud destination – whether deployed on-premises, in the cloud or in a hybrid environment. Thousands of global brands, including Autodesk, Condé Nast, JetBlue and Morgan Stanley, trust Fivetran to move their most valuable data assets to fuel analytics, drive operational efficiencies and power innovation.