# Product Manager, Data Orchestration - Company: [Kestra]() - Location: Europe - Remote: Yes - Team: Products - Employment type: Full Time - Posted: August 7, 2026 ## Job description ### 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 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. ### What We're Looking For * 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. ### Bonus Points * 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. ### What You Get * 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. ## Apply [Apply on Kestra]() Canonical job page: