Product Manager, Data Orchestration
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Job Description
Product Manager leading data orchestration at Kestra, an open-source universal orchestration platform. Shaping data-aware workflows, integrations, migrations, and releases for data engineering teams.
Responsibilities:
- Own the full product lifecycle for data orchestration, from understanding customer problems through technical specifications, prototyping, and delivery.
- Shape data-aware orchestration around datasets, lineage, freshness, and data quality.
- Deepen integrations with dbt, Fivetran, Airbyte, Snowflake, BigQuery, Databricks, Kafka, and the Kestra plugin ecosystem.
- Make migrations easier for teams moving from Airflow and similar orchestrators.
- Collaborate with the Product Lead and CTO to shape and scope features for each 8-week release cycle.
- Make tradeoffs balancing simplicity, technical feasibility, and long-term sustainability.
- Coordinate development progress and ensure features are delivered, QA'd, documented, and release-ready.
- Continuously improve the product using customer feedback, usage data, and community input.
Requirements:
- Hands-on, startup-minded Product Manager comfortable working without heavy process or structure.
- Strong data-domain background, including hands-on experience building or managing data pipelines.
- Hands-on knowledge of dbt, Fivetran or Airbyte, and warehouses such as Snowflake, BigQuery, or Databricks.
- Practical experience with workflow orchestration using Airflow, Dagster, Prefect, or Kestra.
- Clear understanding of scheduling, backfills, retries, and dependencies between datasets.
- Excellent communication and clarity in writing, including specifications, product decisions, and public-facing documentation.
- Full ownership mentality and ability to iterate quickly based on feedback.
- Experience or familiarity with open-source development and comfort writing publicly and discussing product changes in GitHub repositories.
- Comfortable working with globally distributed teams across time zones.
- Bonus: Past experience as a data engineer or analytics engineer.
- Bonus: Experience migrating from Airflow or another orchestrator to a new platform.
- Bonus: Experience in a B2B software or open-source company.
- Bonus: Exposure to SaaS products, especially self-serve or platform-oriented products.
- Bonus: Familiarity with data engineering communities and tool adoption.
Benefits:
- Competitive compensation
- Equity
- Health insurance
- Real ownership in a globally distributed, technical team
- Direct exposure to product strategy and company priorities
- Product running mission-critical workloads in production at over 10,000 organizations
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