2 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, 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.