Effortlessly centralize all the data you need so your team can deliver better insights, faster. Start for free. Backed by General Catalyst, Y Combinator and a16z.
About the role
Fivetran's Databases portfolio spans source connectors for the OLTP and legacy systems enterprises depend on — Oracle, SQL Server, MySQL, PostgreSQL, DB2, SAP, and more — as well as the destination connectors (Snowflake, BigQuery, Databricks, Redshift, and others) that land that data for analytics and AI use cases. Underneath both sides sits a shared core data processing engine that captures, transforms, and loads data reliably at scale across Fivetran’s 700+ connectors. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years of product management experience with significant exposure to data infrastructure, databases, ETL/ELT systems
- Comfort operating at technical depth (schema design, replication mechanics, CDC, data types) and business altitude (ARR, TAM, competitive positioning) in the same day
- A track record of owning outcomes for complex, engineering-heavy roadmaps
- Strong written and verbal communication skills: PRDs, feature briefs, and roadmap narratives that engineering and executives can act on without additional translation
- Bonus: direct experience with database internals, log-based CDC, or building/operating a data replication or processing engine
More about this role
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
Fivetran is the global leader in automated data movement, helping organizations centralize data from hundreds of sources into the destinations that power their analytics and AI. Our Databases product area is core to that mission: we build the connectors and underlying engine that reliably, securely, and efficiently move data out of the systems enterprises run their business on, and into the modern destinations they analyze it in.
Fivetran's Databases portfolio spans source connectors for the OLTP and legacy systems enterprises depend on — Oracle, SQL Server, MySQL, PostgreSQL, DB2, SAP, and more — as well as the destination connectors (Snowflake, BigQuery, Databricks, Redshift, and others) that land that data for analytics and AI use cases. Underneath both sides sits a shared core data processing engine that...
Browse similar: Startup jobs · Remote jobs