Engineering Manager

Posted 9 Days Ago
Be an Early Applicant
3 Locations
Remote
215K-250K Annually
Senior level
Software
The Role
Lead a team responsible for the development of Dagster's Core API and product offerings, coaching engineers, managing project delivery, and promoting engineering excellence. Collaborate with cross-functional partners to align team efforts with company goals and drive impactful engineering work.
Summary Generated by Built In

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

We’re looking for an Engineering Manager to lead a high-impact team responsible for advancing Dagster's Core API and product offerings. In this role, you’ll work on the core of Dagster’s orchestration capabilities, guiding your team to solve complex user challenges in data pipeline creation. As a leader, you will coach and empower engineers to deliver innovative, scalable solutions while fostering a culture of collaboration, continuous improvement, and technical excellence. You’ll also work closely with cross-functional partners to align the team’s efforts with company objectives, driving measurable impact through high-quality engineering work.

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

  • Define and drive the team’s goals, strategy, and roadmap, delivering improvements and innovation to Dagster’s Core APIs and solving key user challenges.
  • Provide regular 1:1 coaching, manage engineers’ performance, and support their career growth.
  • Facilitate technical decision-making, drive consensus, and set the technical strategy for the team.
  • Enable seamless team execution by identifying and removing blockers, maintaining alignment between priorities and goals, and adapting processes as needed.
  • Oversee external communication and collaboration, ensuring strong relationships with other teams and stakeholders across the company.
  • Manage the team’s daily operations, including project management, sprint planning, and delivery.
  • Champion engineering excellence, promoting best practices and raising the bar across the engineering organization.

Must-have Qualifications

  • 7+ years of hands-on software engineering experience.
  • 2+ years of experience as an engineering manager, successfully leading product teams and mentoring engineers at various stages of their careers.
  • Proven ability to lead and collaborate effectively with senior engineers, stakeholders, and peers.
  • Strong written and verbal communication skills, with confidence in articulating and defending technical and strategic viewpoints.
  • Demonstrated project management expertise, with a track record of running efficient teams and fostering a culture of continuous process improvement.
  • Experience in a high-performing engineering organization, particularly with large-scale distributed systems or B2B SaaS applications.

Nice-to-have Qualifications

  • Experience maintaining open-source libraries.
  • Prior experience as a data engineer, analytics engineer, data scientist, or building data pipelines.
  • Experience working in the data engineering or devtools industry.

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 annual cash salary for this role is $215,000 - $250,000.

Other Resources

  • The launch of Dagster blog post
  • Launching Dagster Cloud to GA blog post
  • The Data Engineering Impedance Mismatch blogpost/presentation
  • What Dagster Believes About Data Platforms
  • Software-Defined Assets blog post, Data Council talk, and animated explainer
  • The April 2024 Dagster+ launch event


No recruiters please.

Top Skills

Software Engineering
The Company
HQ: San Francisco, California
65 Employees
On-site Workplace
Year Founded: 2018

What We Do

Building out Dagster, the data orchestration platform built for productivity. Join the team that is hard at work, setting the standard for developer experience in data engineering.

Dagster Github: https://github.com/dagster-io/dagster

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