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A leading technology company seeks a Product Engineer to enhance its platform while driving user adoption. You will develop features that empower organizations and engage directly with users. Candidates should have strong programming knowledge, particularly in Python and TypeScript, and a proven track record in software development. This remote position allows flexibility and offers competitive compensation.
At Dagster Labs, our mission is simple but ambitious: to empower every organization to build a productive, scalable data platform. We’re the brains behind Dagster, the open-source tool developers love, Dagster+, our managed cloud, and Compass—our first AI product, which brings exploratory data analysis into Slack with governed context. From scrappy startups to global enterprises, thousands of teams trust us to power the data behind their analytics, machine learning, and AI breakthroughs.
We believe the AI era runs on reliable, high-quality data. That’s why we make data platforms easier to test, easier to understand, and actually enjoyable to use. Dagster is quickly becoming the backbone of how the world builds intelligent systems.
We’re a small, well-funded team with big energy and a track record of shipping software people rave about. We aim high and work as a team, holding ourselves to the highest standards and trusting each other to deliver. We care about how we work together: no egos, no drama, just a lot of curiosity and a drive to make something meaningful.
If you want to help shape the future of data and AI and have fun doing it, come build with us.
Are you a driven software engineer who thrives at the intersection of product development, customer success, and user adoption? Join the Dagster Labs engineering team, where you\'ll contribute to building and enhancing the Dagster platform—empowering organizations to create scalable and productive data platforms.
We’re hiring Product Engineers to accelerate Compass adoption and impact. You will shape the product by turning ambiguous needs into crisp, Slack-native workflows; ship user-facing features that deliver answers in minutes with governed, learning context; work across the stack from product UX to backend, data integrations, and infrastructure, and iterate closely with users and industry-leading partners to turn signal into outcomes.
This is a full-time position offering competitive salary, equity, and benefits. We are a distributed team, and this role is remote within the United States; we have optional in-person offices in San Francisco, New York, and Minneapolis. We’re open to hiring fully remote candidates who are currently authorized to work within the United States. We offer flexible remote work options so you can choose the environment that makes you most productive - whether that’s your home or a coworking space. Dagster Labs fosters a collaborative, remote-first culture, ensuring you have all the tools and support needed to thrive, no matter where you are.
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 Dagster Labs 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.
Dagster is built in Python and TypeScript, and runs seamlessly across macOS, Linux, and Windows. Our frontend is powered by React and GraphQL, delivering a modern, intuitive developer experience. We value engineers who are comfortable working across the stack and making thoughtful contributions.
The estimated cash salary for this role is 165,000-210,000.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.