Full-Time

Engineering Manager

Confirmed live in the last 24 hours

Dagster Labs

Dagster Labs

11-50 employees

Data orchestration platform for productivity

Data & Analytics
Enterprise Software

Compensation Overview

$215k - $250kAnnually

Senior, Expert

Remote in USA

Candidates must be authorized to work within the United States.

Category
Engineering Management
Software Development Management

You match the following Dagster Labs's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 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.
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.
Desired 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.

Dagster Labs develops a data orchestration platform called Dagster, which is designed to enhance productivity in managing data workflows. The platform allows users to define, schedule, and monitor data pipelines, making it easier to integrate and process data from various sources. Unlike many other data orchestration tools, Dagster focuses on providing a clear structure for data workflows, enabling teams to collaborate more effectively and maintain better visibility into their data processes. The goal of Dagster Labs is to streamline data management, helping organizations to work more efficiently with their data.

Company Stage

Series B

Total Funding

$78.6M

Headquarters

San Francisco, California

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Recent $33M Series B funding boosts development and marketing efforts for Dagster.
  • Growing demand for sophisticated data orchestration tools aligns with Dagster's offerings.
  • Dagster's platform supports critical decision-making processes, increasing its market relevance.

What critics are saying

  • Competition from Treeverse's lakeFS 1.0 may challenge Dagster's market position.
  • Focus on GitHub stars could divert attention from essential product development.
  • Rapid tech evolution in data orchestration may risk Dagster's obsolescence.

What makes Dagster Labs unique

  • Dagster Labs offers an open-source orchestration platform for data asset management.
  • The platform is designed for productivity, scalability, and observability of data assets.
  • Dagster's integration with lakeFS enhances data version control capabilities.

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Benefits

Flexible Work Hours

Remote Work Options