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 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.
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 and ensure features are delivered, QA'd, documented, and ready to go.
Improve the product continuously based on customer feedback, usage data, and community input.
Hands-on, startup-minded PM comfortable working without heavy process or structure.
Strong background in the data domain - you've built or managed data pipelines yourself and know tools like dbt, Fivetran or Airbyte, and warehouses such as Snowflake, BigQuery, or Databricks from hands-on use.
Practical experience with workflow orchestration (Airflow, Dagster, Prefect, or Kestra itself) and a clear understanding of scheduling, backfills, retries, and dependencies between datasets.
Excellent communication and clarity in writing - specs, product decisions, and public-facing documentation.
Full ownership mentality. You iterate quickly based on feedback and don't wait to be told what to do.
Experience or familiarity with open-source development - comfortable writing publicly and discussing product changes in GitHub repositories.
Comfortable working with globally distributed teams across time zones.
Past experience as a data engineer or analytics engineer.
Experience moving a team from Airflow (or another orchestrator) to a new platform.
Experience in a B2B software or open-source company.
Exposure to SaaS products, especially self-serve or platform-oriented.
Familiarity with data engineering communities and how they adopt tools.
Real ownership in a globally distributed, technical team.
Direct exposure to product strategy and company priorities.
A product running mission-critical workloads in production at over 10,000 organizations.
Competitive compensation, equity, and health insurance.
Skills Required
- Hands-on experience building or managing data pipelines and familiarity with dbt, Fivetran or Airbyte, and warehouses like Snowflake, BigQuery, or Databricks
- Practical experience with workflow orchestration tools (Airflow, Dagster, Prefect, or Kestra) including scheduling, backfills, retries, and dataset dependencies
- Excellent written communication and clarity in specs, product decisions, and public-facing documentation
- Full ownership mentality; iterate quickly from feedback and independently drive outcomes
- Familiarity with open-source development and comfort writing and discussing product changes in GitHub
- Comfortable working with globally distributed teams across time zones
- Past experience as a data engineer or analytics engineer
- Experience migrating teams from Airflow (or another orchestrator) to a new platform
- Experience in a B2B software or open-source company
- Exposure to SaaS products, especially self-serve or platform-oriented
- Familiarity with data engineering communities and adoption patterns
What We Do
Kestra is an open-source orchestration platform that makes both scheduled and event-driven workflows easy. By bringing Infrastructure as Code best practices to data, process, and microservice orchestration, you can build reliable workflows and manage them with confidence. In just a few lines of code, you can create a flow directly from the UI. Thanks to the declarative YAML interface for defining orchestration logic, business stakeholders can participate in the workflow creation process. Kestra offers a versatile set of language-agnostic developer tools while simultaneously providing an intuitive user interface tailored for business professionals. The YAML definition gets automatically adjusted any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is always managed declaratively in code, even if some workflow components are modified in other ways (UI, CI/CD, Terraform, API calls).
