Product Manager, Data Orchestration

About this role

### About Kestra

Kestra is the universal orchestration platform: open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems.

Trusted by over 10,000 organizations worldwide, including JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole, Kestra orchestrates mission-critical workloads at scale. The open-source project has close to 30,000 GitHub stars, hundreds of contributors, and a fast-growing global community.

### The Role

We'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 Do

• **Own 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.
• Collaborate with the Product Lead and CTO to **shape and scope features** for each 8-week release cycle.
• Make informed tradeoffs, balancing simplicity, technical feasibility, and long-term sustainability.
• Coordinate development progress ...