Currently tracking 1 active AI role, down 13% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $155k–$315k (avg $229k).
| Title | Stage | AI score |
|---|---|---|
| Business Development Representative, Commercial Business Development Representative for Fivetran's Commercial team in Dublin, focused on building sales pipeline through outbound prospecting, qualifying leads, and collaborating with Account Executives and Marketing. | — | 0 |
| Senior Sales Engineer, Commercial Fivetran is seeking a Senior Sales Engineer for their Commercial sales team. This role involves understanding customer business needs, showcasing Fivetran's data replication solutions, and providing technical expertise throughout the sales cycle. The position requires a strong technical background in data replication, cloud infrastructure, and modern data analytics technologies. | — | 0 |
| Senior Sales Engineer, Commercial Fivetran is seeking a Senior Sales Engineer for their Commercial sales team in Dublin. The role involves understanding customer business needs, showcasing Fivetran's data replication solutions, providing technical expertise, and ensuring successful proof-of-value throughout the sales cycle. The position requires a strong technical background in data replication, cloud infrastructure, and modern data analytics technologies. |
| — |
| 0 |
| Senior C Programmer Fivetran is seeking a Senior Software Engineer to join their core team, focusing on designing and implementing improvements to their high-performance data integration system. The role involves reasoning about relational semantics, data representation, and software performance, with an emphasis on practical system improvements and product ownership within a collaborative team environment. | — | 0 |
| Senior Software Engineer - Core Databases Fivetran is seeking a Senior Software Engineer for their core databases team to advance the technical foundation of their data integration system. The role involves designing and implementing high-performance data pipelines, reasoning about relational semantics, data representation, and software performance. The engineer will work across the full project lifecycle in a collaborative environment, focusing on practical system improvements and product ownership. | — | 0 |