3 months ago
Base Salary
$175k - $210k/yr
Responsibilities
- Research retrieval, reasoning, and agentic AI techniques and evaluate their relevance to the product roadmap
- Rapidly prototype ideas and turn validated concepts into production-grade features
- Build and maintain backend and frontend systems for Agents Schema pipelines and the Context Catalog UI
- Contribute to AISQL, including natural-language-to-SQL grounded in dbt metric definitions and executed against data warehouses
- 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
- Create software designs and contribute to the technical roadmap
- Participate in the hiring and interview process
Requirements
- At least five years of programming experience across Python and/or Java, with the ability to work across backend and frontend systems
- Ability to execute complex, ambiguous work with minimal hand-holding and serve as a trusted expert in a subject area
- Comfort reading AI/ML research and converting promising findings into working prototypes
- Strong product and market awareness for evaluating emerging AI techniques
- Experience with SQL and data warehouses such as BigQuery, Snowflake, or Databricks
- Willingness to work across research, backend, frontend, SRE, and QA
- Ability to write structured, performant code and improve unfamiliar codebases
- Experience using coding agents or similar AI tooling
- Analytical and pragmatic approach to identifying system gaps and designing improvements
- Ability to thrive in a startup-like environment with shifting priorities and high ownership
- Bonus: experience with LLM applications, RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
- Bonus: familiarity with semantic layers such as dbt, LookML, or Sigma
- Bonus: experience with MCP or AI agent integrations
- Bonus: site reliability experience involving monitoring, alerting, or incident response
- Bonus: data processing, ETL/ELT, or data connector experience
- Bonus: cloud experience with AWS, GCP, Kubernetes, or Docker
- Bonus: contributions to open-source AI or data projects
Benefits
- Full-time hybrid position based in New York, NY, with two days in the office each week
- 100% employer-paid medical insurance, subject to country and worker type
- Paid time off, sick time, parental leave, holidays, and volunteer days off
- RSU stock grants
- Professional development and training opportunities
- Virtual happy hours, free food, and team-building activities
- Monthly cell phone stipend
- Mental health support platform with therapy, coaching, and mindfulness resources
Tech Stack
AWSDatabricksdbtDockerGoogle BigQueryGoogle Cloud PlatformJavaKubernetesPostgreSQLPythonReactSnowflakeSQLTypeScript
Categories
About Fivetran
Fivetran builds a managed data integration platform that extracts data from hundreds of SaaS apps and databases and loads it into cloud data warehouses for analytics and AI teams. Sold as a subscription SaaS service, it provides prebuilt connectors, automated schema management, and ELT/replication to destinations like Snowflake, BigQuery, Databricks, and Redshift. Founded in 2012 and headquartered in Oakland, it serves customers such as Autodesk, Condé Nast, JetBlue, and Morgan Stanley.