Product Manager, Data Orchestration

📋 Description Own the full product lifecycle from problem to release Shape data-aware orchestration and data quality in pipelines Deepen integrations with dbt, Fivetran, Airbyte, Snowflake, BigQuery, Databricks, Kafka Make migrations easy for teams moving from Airflow Coordinate release cycles and align with product goals Improve the product using feedback and usage data 🎯 Requirements Hands-on, startup-minded PM without heavy process Strong background in the data domain with hands-on data pipelines tools Practical experience with workflow orchestration (Airflow, Dagster, Prefect, or Kestra) Excellent written communication; clear specs and docs Full ownership mentality; quick iteration Experience with open-source development and GitHub 🎁 Benefits Real ownership in a globally distributed, technical team Direct exposure to product strategy and priorities Product running mission-critical workloads at 10,000+ orgs Competitive compensation, equity, and health insurance