Product Manager, Data Orchestration

Kestra Technologies; Deutschland; Remote; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Health insurance

Equity

Competitive compensation

Zusammenfassung

Kestra Technologies is seeking a pragmatic Product Manager to lead the data orchestration product. You will drive the full lifecycle, shape data-aware pipelines, and deepen integrations with the modern data stack across teams worldwide.

You will collaborate with the CTO and Product Lead to scope features for each 8-week release cycle, emphasizing fast value delivery and open-source collaboration.

Qualifikationen

• Hands-on PM with data-domain experience and minimal process requirements.
• Familiar with modern data stacks: dbt, Fivetran, Airbyte, Snowflake, BigQuery or Databricks.
• Experienced in workflow orchestration and scheduling concepts.
• Strong writing and communication for specs and docs.
• Open-source familiarity and global, distributed teams.

Aufgaben

• Own the full product lifecycle from problem to delivery.
• Shape data-aware orchestration features across datasets and lineage.
• Deepen integrations with the modern data stack (dbt, Fivetran, Airbyte, Snowflake, BigQuery, Databricks).
• Make migrations easier for users moving from Airflow or other tools.
• Collaborate with product leadership to scope 8-week releases.
• Balance simplicity, feasibility, and long-term sustainability.
• Coordinate progress and ensure features are delivered, QA'd, and documented.
• Improve the product using customer feedback and usage data.

Kenntnisse

Startup mindset

Data domain

dbt

Fivetran

Airbyte

Snowflake

BigQuery

Databricks

Airflow

Dagster

Prefect

Open source

Written communication

Global teamwork

Tools

dbt

Fivetran

Airbyte

Snowflake

BigQuery

Databricks

Airflow

Dagster

Prefect

Kestra platform

Jobbeschreibung

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, BQ, 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, BQ, 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.