Open-Source Strategy Lead

We’re looking for a Open-Source Strategy Lead who lives and breathes data engineering – pipelines, connectors, ingestion at scale, and making ELT workflows just work. At Airbyte, we’re building the open-source standard for data movement. In this role, you’ll create hands-on technical content, engage deeply with the engineering community, and help practitioners see how Airbyte fits into their modern stack. From batch to real-time, self-managed to hybrid cloud.

This is a highly visible, high-impact role. You’ll work across product, engineering, growth and community to drive adoption and shape the experience of thousands of data engineers moving mission-critical data every day.

Content Creation

• Build tutorials, sample repos, walkthrough videos, blog posts, and live sessions showing how to use Airbyte in real-world pipelines (e.g., syncing Salesforce to Snowflake, Change Data Capture into Iceberg, etc.)
• Develop resources tailored to the daily work of data engineers: troubleshooting sync failures, managing schema drift, scaling connectors, etc.
• Cover both self-hosted and cloud-native workflows, including Airbyte Cloud and orchestration with tools like Airflow, Dagster, and dbt.

 Community Engagement

• Represent Airbyte across GitHub, Slack, Reddit, Stack Overflow, and more. Responding to questions, offering guidance, and spotlighting great community contributions.
• Help reduce time-to-value for new users by sharing patterns, recipes, and config examples that work.
• Capture feedback from data engineers in the field and bring those insights back to our product and docs teams.
  
  

Technical Enablement

• Build and maintain demo pipelines and open-source starter kits showing how Airbyte integrates with core parts of the modern data stack: cloud data warehouses, lakehouses, pub/sub systems, and orchestration tools.
• Contribute code, docs, or utilities to the Airbyte OSS repo as needed to help improve the developer experience.
• Partner with Solutions Engineering and Support to scale enablement materials for technical onboarding.
  
  

Developer Advocacy

• Speak at data meetups, conferences, and webinars about lessons learned in building reliable, scalable data pipelines.
• Share best practices and operational playbooks around connector development, ELT architectures, and hybrid deployments.
• Support partner integrations with vendors across the data ecosystem (e.g., Snowflake, Databricks, AWS, dbt, etc.)

• 5+ years in developer advocacy, data engineering, or related roles with strong technical and skills
• Proficiency in Python and modern data tools (Airflow, dbt, Spark, SQL-based warehouses, etc.)
• Demonstrated experience creating high-quality technical content: blog posts, code repos, YouTube tutorials, etc.
• Strong grasp of data movement patterns: batch vs streaming, change data capture (CDC), schema evolution
• Clear communicator with public speaking experience and a passion for making engineers’ lives easier
• Track record of engaging in technical communities (open-source contributions, forum participation, etc.)
• You share our values

Preferred Qualifications

• Experience building or maintaining open-source connectors
• Familiarity with GenAI/ML use cases involving unstructured data, RAG, and agent-based pipelines.
• Track record of contributing to data ecosystem projects such as DBT or Apache Iceberg.
• Understanding of data governance, observability, and pipeline reliability at scale
• Comfort with hybrid architectures, cloud platforms (GCP, AWS, Azure), and containerized deployments.
• Familiarity with Airbyte or competing tools

Location

• San Francisco. Onsite 3x/week.