Staff Product Manager, Databases

USA - OaklandFull-time2026-10-30 → 2026-11-10

Core

Define the roadmap for Fivetran's Databases portfolio, including source and destination connectors for OLTP/legacy systems and modern data warehouses, focusing on replication mechanics, schema handling, and CDC.

Role type

Staff Product Manager (Data Infrastructure)

Builds

Source connectors (Oracle, SQL Server, MySQL, PostgreSQL, DB2, SAP), destination connectors (Snowflake, BigQuery, Databricks, Redshift), and the shared core data processing engine.

Domain

Data Infrastructure / ETL/ELT / Databases

Required skills

Product management, data infrastructure, databases, ETL/ELT systems, replication mechanics, schema design, CDC, ARR analysis, competitive dynamics, PRD writing, roadmap ownership, customer engagement.

Preferred skills

Database internals, log-based CDC, building/operating data replication or processing engines.

Technologies

Oracle, SQL Server, MySQL, PostgreSQL, DB2, SAP, Snowflake, BigQuery, Databricks, Redshift

Responsibilities

Identify and prioritize new source and destination connectors based on customer demand and revenue potential; partner with engineering on platform features for data capture, transformation, and loading; write and evangelize clear PRDs; own roadmaps end-to-end from discovery to post-launch iteration; analyze market and customer behavioral data; engage directly with customers and field teams to validate problems.

Seniority

Staff, high-leverage IC with strategic influence

About Fivetran

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights.