The open-source project has close to 30,000 GitHub stars, hundreds of contributors, and a fast-growing global community.
The RoleWe're looking for a pragmatic Product Manager to lead Kestra's product in the data orchestration domain: how data teams build, run, and monitor pipelines with Kestra, from ingestion and transformation to data-aware orchestration across the tools they already use.
You'll take features from customer problem to delivery with minimal process.
This is not a "project manager" or "product owner" role; we care about releasing real value fast and won't ask you to maintain SCRUM rituals.
What You'll DoOwn the full product lifecycle - understand the problems of data engineers, analytics engineers, and data platform teams; define technical specs; prototype (AI tools encouraged); and work closely with developers to deliver high-quality releases.
Shape Kestra's data-aware orchestration - pipelines modeled around the datasets they produce, with lineage, freshness, and data quality treated as part of orchestration.
Deepen integrations with the modern data stack - dbt, Fivetran, Airbyte, Snowflake, BigQuery, Databricks, Kafka, and the wider Kestra plugin ecosystem.
Make migrations easy - clear paths and documentation for teams moving to Kestra from Airflow and similar orchestrators.
Make informed tradeoffs, balancing simplicity, technical feasibility, and long-term sustainability.
Coordinate development progress and ensure features are delivered, QA'd, documented, and ready to go.
Improve the product continuously.