Posted:
9/6/2024, 8:32:05 AM
Location(s):
Minneapolis, Minnesota, United States ⋅ California, United States ⋅ New York, New York, United States ⋅ Philadelphia, Pennsylvania, United States ⋅ Pennsylvania, United States ⋅ New York, United States ⋅ San Francisco, California, United States ⋅ Minnesota, United States
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
Sales & Account Management
Workplace Type:
Remote
About us
We’re an early, well-funded team with a proven track record of shipping open-source software with global adoption. We put a premium on respectful, clear, and complete communication, and we expect each other to be creative, curious, effective, and empathetic.
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 engineers who want to write clean APIs and helpful error messages, and who always try to understand user needs when designing a new system.
Our customers are some of the most exciting businesses on the internet, and you will work closely with both their technology and business teams to scope out and implement onboarding projects. You will work closely with our team of Account Executives to prove the power of the platform to new clients. You’ll also get exposure to the inner workings of a rapidly-growing organization. You will have opportunities to contribute ideas to the direction of our team and participate in the various initiatives that will drive our growth.
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 GitHub and looking at our code reviews.
About the role
Dagster Labs is hiring a Sales Engineer to onboard and educate our clients efficiently and intelligently. We’re seeking Sales Engineers to join us and support the increasing demand from our sales team. As a Sales Engineer, the main responsibilities are to secure the “technical win” and contribute to the enablement of our prospects during their selection process.
This is a full-time, competitively paid position with benefits. We are a distributed team with offices in San Francisco and Minneapolis. We have team members all over the U.S. and we are hiring fully remote candidates in the U.S. Every employee is provided a remote work stipend to cover the cost of home office equipment and anything else that makes your remote work location comfortable, productive, or successful. And if you’d rather not work from home, we’ll cover the cost of a coworking or office space if you’re fully remote.
Responsibilities
Must-have Qualifications
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.
Nice-to-have Qualifications
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 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.
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.
The estimated OTE for this role is $150K-250K.
Other resources:
No recruiters please.
Website: https://dagster.io/
Headquarter Location: San Francisco, California, United States
Employee Count: 11-50
Year Founded: 2018
IPO Status: Private
Last Funding Type: Series B
Industries: Big Data ⋅ Cloud Data Services ⋅ Software