About us

At Dagster Labs, we’re an early-stage, well-funded startup team with a proven track record of shipping open-source software with global adoption. Our mission is to empower organizations to create scalable, productive data platforms. 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.

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

As a Senior GTM Analyst, you will be responsible for raising the bar for analysis quality and decision-making on our Go-to-Market team. You will provide data-driven insights that help shape GTM strategy across Sales and Marketing and Customer Success. You will partner cross-functionally to identify opportunities to improve our performance across the funnel and build reporting to ensure visibility into the top-of-line strategic initiatives.

This is a full-time position offering competitive salary, equity, and benefits. We are a distributed team with 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.

Responsibilities

Provide data-driven insights that help shape GTM strategy across Sales and Marketing
Analyze and understand data on our leads, prospects, and customers to help us make data-informed decisions for product development
Oversee the development of analytical models and reporting tools that offer transparency on GTM performance, on strategic initiatives, and other aspects of our customer-facing motions
Serve as a thought partner to various marketing teams, including SEO, Growth Marketing, and Partnerships, in planning high-impact marketing plays

Must-have Qualifications

5+ years of experience in a highly analytic role, with at least 3 years aligned with marketing or sales functions
Proficiency in SQL, Python or R
A demonstrated self-starter with strong communication and project management skills
Demonstrated ability to establish highly collaborative relationships with cross-functional teams across the GTM organization
Experience with data visualization. Can confidently choose the best visualization style for the given context; the insights from your visualizations speak for themselves

Nice-to-have Qualifications

A bachelor's degree in a technical or quantitative field (e.g., Analytics, Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, etc.)

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.

The estimated cash salary for this role is $140,000 to $170,000.

Other resources

The launch of Dagster blog post
Launching Dagster Cloud to GA blog post
Dagster Day 2022 video playlist
Our latest major release
Software-Defined Assets blog post, Data Council talk, and animated explainer
Our latest episode on the Data Engineering Podcast
Our philosophy on code reviews

No recruiters please.