Dagster Labs

Revenue Operations Lead

New York, New York, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software Development, Open SourceIndustries

Revenue Operations Lead

Employment Type: Full-time Location Type: Distributed Team (Offices in San Francisco, New York, Minneapolis) / Fully Remote (within the United States)

About Us

At Dagster Labs, we are 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 prioritize respectful, clear, and complete communication, and we expect each other to be creative, curious, effective, and empathetic.

We believe that the right tools and abstractions enable not only technological transformation but also organizational transformation. We strive to put the user and their hard work at the center of our decision-making. This means we look 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 are seeking a highly motivated and experienced Revenue Operations Lead to oversee and align our Go-To-Market Operations teams. This role is crucial to ensuring that our revenue-generating departments operate seamlessly, strategically, and collaboratively. As the Revenue Operations Lead, you will play a key role in optimizing the entire revenue process, managing technology stacks, developing and tracking KPIs, and providing actionable insights that drive growth. You’ll collaborate with leadership across departments to ensure alignment on goals and processes while fostering a data-driven, results-oriented culture.

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

  • Strategic Alignment: Oversee and align Sales Operations and Marketing Operations to ensure both departments work toward shared revenue and growth goals. This includes everything from aligning high-level strategy to ensuring that the technology stacks work together seamlessly.
  • KPI Setting and Monitoring: Establish and maintain key revenue performance metrics to provide visibility into marketing, sales, and overall revenue performance. This includes ensuring accurate and data-driven revenue forecasting and actionable recommendations.
  • Process Optimization: Develop, implement, and maintain processes that improve effectiveness across the revenue cycle, creating scalable processes from lead generation to deal close to support growth.
  • Technology Stack Management: Oversee the sales and marketing technology stacks, ensuring seamless integration and optimization of platforms such as Salesforce and Hubspot amongst other tools. Ensure data accuracy and cleanliness across key systems for accurate reporting and driving insights across departments.
  • Compensation and Incentives: Collaborate on developing and managing incentive programs for GTM teams to drive performance.
  • Cross-Department Collaboration: Work closely with marketing, sales, finance, and leadership teams to ensure goals, processes, and reporting are aligned.

Must-Have Qualifications

  • Minimum of 10 years of experience in Revenue Operations or Sales Operations in a tech company.
  • Deep understanding of both sales and marketing processes, with a track record of driving process improvements and measurable results.
  • Experience managing incentive programs and GTM performance metrics.
  • Strong proficiency in Salesforce and Hubspot.
  • Experience managing cross-functional teams or collaborations.

Skills

Revenue Operations
Go-To-Market Strategy
KPI Development
Data Analysis
Technology Stack Management
Cross-Functional Collaboration
Results-Oriented Culture

Dagster Labs

Data orchestration platform for productivity

About Dagster Labs

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.

San Francisco, CaliforniaHeadquarters
2018Year Founded
$78.6MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
11-50Employees

Benefits

Flexible Work Hours
Remote Work Options

Risks

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.

Differentiation

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.

Upsides

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.

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