Product Manager, Data Orchestration

TL;DR

Product Manager, Data Orchestration (Data Platforms/Open Source): Own the product lifecycle for data orchestration capabilities that make pipelines easier to build, operate, monitor, and scale, with an accent on data-aware workflows, ecosystem integrations, and migration experiences. Focus on defining technical product specifications, coordinating releases, and solving complex challenges across data lineage, freshness, quality, dependencies, and legacy orchestrator migrations.

Location: Remote from the Netherlands, collaborating with globally distributed teams across multiple time zones.

Company

Open-source technology environment developing data orchestration products for mission-critical workloads used by more than 10,000 organizations worldwide.

What you will do

• Own the full product lifecycle from customer discovery and solution definition through prototyping, development, QA, documentation, and release.
• Define data-aware orchestration features covering lineage, freshness, quality, and dataset dependencies.
• Expand integrations with the modern data stack, including dbt, Fivetran, Airbyte, Snowflake, BigQuery, Databricks, and Kafka.
• Develop migration paths and documentation for teams moving from Airflow and other workflow orchestration platforms.
• Shape release scope with product and technology leadership while balancing customer value, simplicity, feasibility, and sustainability.
• Use customer feedback, product usage data, and open-source community input to improve the product.

Requirements

• Hands-on product management experience in a startup-minded, low-process environment.
• Strong practical knowledge of data ecosystems, data pipelines, and tools such as dbt, Fivetran, Airbyte, Snowflake, BigQuery, or Databricks.
• Experience with workflow orchestration platforms such as Airflow, Dagster, Prefect, or Kestra, including scheduling, backfills, retries, dependencies, and data workflows.
• Ability to write clear technical specifications, explain product decisions, and create high-quality documentation.
• Strong ownership, decision-making, prioritization, and cross-functional collaboration skills.
• Ability to work effectively with globally distributed teams across multiple time zones and contribute to public open-source repositories.

Nice to have

• Previous experience as a data engineer or analytics engineer.
• Experience migrating teams from Airflow or another orchestration platform.
• Background in B2B software, SaaS, platform products, or open-source companies.
• Familiarity with data engineering communities and technology adoption patterns.

Culture & Benefits

• Significant ownership and autonomy within a globally distributed, highly technical team.
• Direct exposure to product strategy and broader business priorities.
• Equity participation and a competitive compensation package.
• Health insurance.
• Opportunity to contribute to a growing open-source ecosystem and global technical community.

Hiring process

• Applications are reviewed through an AI-powered matching process.
• Shortlisted candidates proceed to interviews and assessments managed by the hiring team.