Head of Community

Full-time · Global

Building out Dagster, the open-source data orchestrator for machine learning, analytics, and ETL.

About the role

You are our first community manager, and you will lead the development of a vibrant open-source community around Dagster, our data orchestration product.

Over the past year, the Dagster community has grown to 1,300 members across 400 organizations. Our users have different backgrounds and skillsets and represent organizations across many industries, from healthcare to quantum computing. As the community manager, you will create an environment where users have the tools to succeed, whether their goal is to learn about the project and best practices, adapt Dagster to their custom infrastructure, evaluate Dagster for their organization, or anything in between.

This is a full-time, competitively paid position with benefits. Due to the current public health conditions, we are fully remote until October 2021. We currently have offices in San Francisco and Minneapolis and are open to hiring fully remote candidates in the U.S. based on their level of experience.


  • You are intentional about the high-level community growth strategy through to the day-to-day execution.
  • You will create opportunities for users to: show off their Dagster projects, build connections within the community, share product feedback.
  • You will develop relationships with highly engaged users, and produce product-related blog posts.
  • You have a pulse on what content users are interested in and what features users want, and are excited to start new community initiatives like virtual conferences and meetups.
  • You will guide the ongoing involvement of the engineering team with the community.
  • You deeply value inclusivity and work to cultivate belonging.
  • You will have autonomy in scoping, prioritizing, and executing on projects, with the north star of serving the growing Dagster community.


  • If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.
  • A demonstrated ability to grow developer communities while maintaining quality.
  • Strong written and verbal communication skills.
  • Practical knowledge of data tools, developer tools, data engineering, and the broader data ecosystem. Bonus points for experience as a data engineer.
  • Experience producing high-quality technical content.

Work with a great team

We’re an early-stage, well-funded, and collegial team with a proven track record of shipping open source software with global adoption, looking for creative, curious, effective, and empathetic engineers. We put a premium on respectful, clear, and complete communication.

We shape our tools, and our tools shape us. We believe deeply that the right tools and abstractions enable not just technological transformation, but also organizational transformation.

We strive to put the user and their hard work at the center of our decision making. In practice, that means we are looking for product leaders who act as advocates for the user.

All of our open source work is done publicly. You can gain context about how we collaborate as a team and the problems we work on by exploring our Phabricator instance and looking at our code reviews.

You belong here

We are committed to building an inclusive team and an open source community where no one feels out of place. We know that teams with diverse backgrounds state their assumptions more explicitly, think more rigorously, and build better software. Plus it's more fun and interesting to work with a wide variety of perspectives.

You should apply to work at Elementl if you want to work in, and help to build and strengthen, a high-performing software development environment where people of all backgrounds are welcome.

Our Stack

Dagster is built in Python and TypeScript to work on macOS, Posix, and Windows. We use GraphQL, Apollo, and React to develop beautiful frontend tooling. We integrate with a wide range of databases, data warehouses, orchestration engines, compute substrates, and cloud services.