Job Overview
Location
Remote with offices in San Francisco, CA / New York, NY / Minneapolis, MN
Job Type
Full-time
Category
HR & Recruiting
Date Posted
March 24, 2026
Full Job Description
đź“‹ Description
- • As a Customer Success Manager at Dagster Labs, you will own the post-sale customer experience for a portfolio of high-value accounts, ensuring customers achieve meaningful business outcomes on the Dagster platform. This role is critical to driving long-term customer value, retention, and expansion by partnering closely with Account Executives to align technical adoption with business goals in a high-touch, outcome-driven model.
- • You will drive activation, adoption, value realization, and goal attainment for your assigned accounts, working proactively to ensure customers successfully implement and scale their use of Dagster and Dagster+. This includes conducting business reviews, identifying expansion opportunities, and translating platform usage into measurable business impact for technical and executive stakeholders.
- • You will partner closely with an Account Executive who owns commercial outcomes (renewals, expansion, business alignment), forming a strategic CS+AE partnership where you focus on customer health and value delivery while the AE focuses on contractual and commercial growth—creating a seamless experience that maximizes retention and expansion potential.
- • You will operate with significant autonomy, prioritizing competing demands across multiple enterprise and mid-market accounts while maintaining a strong analytical mindset to translate usage data, adoption metrics, and customer feedback into actionable insights and value narratives that resonate with both engineers and business leaders.
- • You will contribute to a culture of curiosity, collaboration, and high standards at Dagster Labs—a small, well-funded team known for shipping software that developers love—where your work directly impacts how organizations build reliable, scalable data platforms for analytics, machine learning, and AI initiatives.
- • In this role, you will deepen your expertise in SaaS customer success, data platform adoption, and enterprise stakeholder management, while gaining exposure to cutting-edge data orchestration technologies and helping shape the future of how teams build intelligent systems—positioning you for growth into senior leadership or strategic customer-facing roles within high-growth tech environments.
🎯 Requirements
- • 4–7 years of experience in Customer Success, Account Management, or similar roles in SaaS, with a proven track record of driving adoption and customer outcomes
- • Experience managing mid-market and enterprise accounts, including the ability to influence stakeholders across technical and business personas
- • Strong analytical skills with the ability to translate usage and outcomes into clear business value, supported by excellent written and verbal communication, including executive-level engagement
🏖️ Benefits
- • Competitive compensation with an estimated OTE of $120,000 to $160,000, including variable pay tied to retention and growth of your customer portfolio
- • Opportunity to work remotely with access to offices in San Francisco, CA, New York, NY, and Minneapolis, MN, enabling flexibility while maintaining connection to team hubs
- • Part of a small, well-funded, high-energy team with a strong culture of curiosity, inclusivity, and zero ego—where you’ll help shape the future of data and AI while working on technology that developers love and trust
Skills & Technologies
About Dagster Labs, Inc.
Dagster Labs is the company behind Dagster, an open-source data orchestrator designed to help you build and maintain data applications. Dagster provides a modern approach to data pipeline development, emphasizing developer productivity, reliability, and observability. It offers a unified view of data assets and their lineage, enabling teams to understand, test, and deploy complex data workflows with confidence. The platform integrates seamlessly with existing data tools and infrastructure, making it adaptable for various use cases, from ETL/ELT to machine learning pipelines. Dagster Labs aims to empower data engineers and scientists to manage their data assets more effectively and build robust data systems.
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