Responsibilities - Identify emerging AI research and set the technical roadmap for Fivetran AI. - Prototype ideas quickly and turn them into production-grade features across backend and frontend. - Define technical direction across Fivetran AI and collaborating departments, resolving architectural tradeoffs. - Build and maintain backend and frontend systems for the product, including Agents Schema pipelines and the Context Catalog UI. - Own production reliability: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale. - Mentor staff and senior engineers, influence cross-department decisions, and contribute to hiring.
Responsibilities - Identify emerging AI research and set the technical roadmap for Fivetran AI. - Prototype ideas quickly and turn them into production-grade features across backend and frontend. - Define technical direction across Fivetran AI and collaborating departments, resolving architectural tradeoffs. - Build and maintain backend and frontend systems for the product, including Agents Schema pipelines and the Context Catalog UI. - Own production reliability: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale. - Mentor staff and senior engineers, influence cross-department decisions, and contribute to hiring.
Requirements - 10+ years of programming experience in Python and/or Java, with the ability to move fluidly between backend and frontend. - Proven track record defining and driving technical direction across multiple teams with minimal supervision. - Comfortable reading AI/ML research and translating findings into prototypes and production systems. - Strong SQL and data warehouse experience (BigQuery, Snowflake, Databricks or similar). - Willingness to work across the full stack: research, backend, frontend, SRE, and QA; hands-on as needed. - Experience mentoring senior engineers and influencing technical decisions; thrives in a startup-like environment with ownership. - Bonus: experience with LLM-powered applications, coding agents, or the MCP protocol.
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Requirements - 10+ years of programming experience in Python and/or Java, with the ability to move fluidly between backend and frontend. - Proven track record defining and driving technical direction across multiple teams with minimal supervision. - Comfortable reading AI/ML research and translating findings into prototypes and production systems. - Strong SQL and data warehouse experience (BigQuery, Snowflake, Databricks or similar). - Willingness to work across the full stack: research, backend, frontend, SRE, and QA; hands-on as needed. - Experience mentoring senior engineers and influencing technical decisions; thrives in a startup-like environment with ownership. - Bonus: experience with LLM-powered applications, coding agents, or the MCP protocol.
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