About this job
<h3>About Kestra</h3><p style="min-height:1.5em">Kestra is the <strong>universal orchestration platform</strong>: open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems.</p><p style="min-height:1.5em">Trusted by <strong>over 10,000 organizations worldwide</strong>, including <strong>JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole</strong>, Kestra orchestrates mission-critical workloads at scale. The open-source project has close to <strong>30,000 GitHub stars</strong>, hundreds of contributors, and a fast-growing global community.</p><h3>The Role</h3><p style="min-height:1.5em">We're looking for a pragmatic <strong>Product Manager</strong> to lead Kestra's product in the <strong>data orchestration</strong> domain: how data teams build, run, and monitor pipelines with Kestra, from ingestion and transformation to <strong>data-aware orchestration</strong> 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.</p><h3>What You'll Do</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Own the full product lifecycle</strong> - 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.</p></li><li><p style="min-height:1.5em"><strong>Shape Kestra's data-aware orchestration</strong> - pipelines modeled around the datasets they produce, with lineage, freshness, and data quality treated as part of orchestration.</p></li><li><p style="min-height:1.5em"><strong>Deepen integrations with the modern data stack</strong> - dbt, Fivetran, Airbyte, Snowflake, BigQuery, Databricks, Kafka, and the wider Kestra plugin ecosystem.</p></li><li><p style="min-height:1.5em"><strong>Make migrations easy</strong> - clear paths and documentation for teams moving to Kestra from Airflow and similar orchestrators.</p></li><li><p style="min-height:1.5em">Collaborate with the Product Lead and CTO to <strong>shape and scope features</strong> for each 8-week release cycle.</p></li><li><p style="min-height:1.5em">Make informed tradeoffs, balancing simplicity, technical feasibility, and long-term sustainability.</p></li><li><p style="min-height:1.5em">Coordinate development progress and ensure features are <strong>delivered, QA'd, documented, and ready to go</strong>.</p></li><li><p style="min-height:1.5em">Improve the product continuously based on customer feedback, usage data, and community input.</p></li></ul><h3>What We're Looking For</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Hands-on, startup-minded PM comfortable working <strong>without heavy process or structure</strong>.</p></li><li><p style="min-height:1.5em">Strong background in the <strong>data domain</strong> - you've built or managed data pipelines yourself and know tools like <strong>dbt</strong>, <strong>Fivetran</strong> or <strong>Airbyte</strong>, and warehouses such as <strong>Snowflake, BigQuery, or Databricks</strong> from hands-on use.</p></li><li><p style="min-height:1.5em">Practical experience with <strong>workflow orchestration</strong> (Airflow, Dagster, Prefect, or Kestra itself) and a clear understanding of scheduling, backfills, retries, and dependencies between datasets.</p></li><li><p style="min-height:1.5em">Excellent communication and <strong>clarity in writing</strong> - specs, product decisions, and public-facing documentation.</p></li><li><p style="min-height:1.5em">Full ownership mentality. You iterate quickly based on feedback and don't wait to be told what to do.</p></li><li><p style="min-height:1.5em">Experience or familiarity with <strong>open-source development</strong> - comfortable writing publicly and discussing product changes in GitHub repositories.</p></li><li><p style="min-height:1.5em">Comfortable working with <strong>globally distributed teams</strong> across time zones.</p></li></ul><h3>Bonus Points</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Past experience as a <strong>data engineer or analytics engineer</strong>.</p></li><li><p style="min-height:1.5em">Experience moving a team from <strong>Airflow</strong> (or another orchestrator) to a new platform.</p></li><li><p style="min-height:1.5em">Experience in a <strong>B2B software or open-source company</strong>.</p></li><li><p style="min-height:1.5em">Exposure to <strong>SaaS products</strong>, especially self-serve or platform-oriented.</p></li><li><p style="min-height:1.5em">Familiarity with <strong>data engineering communities</strong> and how they adopt tools.</p></li></ul><h3>What You Get</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Real ownership in a <strong>globally distributed, technical team</strong>.</p></li><li><p style="min-height:1.5em">Direct exposure to product strategy and company priorities.</p></li><li><p style="min-height:1.5em">A product running <strong>mission-critical workloads</strong> in production at over 10,000 organizations.</p></li><li><p style="min-height:1.5em">Competitive compensation, equity, and health insurance.</p></li></ul><p>Find <a href="https://www.arbeitnow.fr">Jobs in France</a> on Arbeitnow</a>