Staff Product Manager, Databases
About Fivetran
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.
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.
We're hiring a Product Manager to help define what's next for the portfolio. This is a technically-oriented, high-leverage role for someone who wants to own roadmap decisions that sit close to the metal — replication mechanics, schema handling, CDC — while still being fluent in the business case (ARR, customer focus, competitive dynamics) that justifies the investment.
You'll partner closely with the engineering teams building and improving connectors, work with the sales and marketing teams to launch new features and drive adoption, and with company leadership to influence product strategy.
What You'll Do
Identify and prioritize the highest-impact opportunities for new Fivetran database source connectors and destination connectors, grounded in customer demand, competitive gaps, and revenue potential.
Partner with engineering leadership on platform features to shape the roadmap for how data is captured, transformed, and loaded reliably at scale across every connector that depends on it.
Write and evangelize clear PRDs that translate customer and market signals into specs engineering can build against with minimal back-and-forth.
Own roadmaps end-to-end: discovery, prioritization, spec, build partnership, launch, and post-launch iteration.
Deeply analyze market and customer behavioral data to drive evidence-based product investments.
Engage directly with customers, prospects, and field teams (Sales, Solutions Engineering, Support) to validate problems and de-risk investments before committing engineering resources.
Represent the Databases product area in cross-functional planning.
What We'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.