
1001 - 5000 employees
Founded 2014
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
💰 Secondary Market on 2020-11
Consulting • Marketing • Artificial Intelligence
GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.
🕒 July 13
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1001 - 5000 employees
Founded 2014
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
💰 Secondary Market on 2020-11
Consulting • Marketing • Artificial Intelligence
GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.
• Lead end-to-end first order and new business analytics work, from defining questions with stakeholders to building datasets, analysis, and clear recommendations that inform sales decisions. • Determine which legacy Tableau dashboards need to be maintained, which need to be updated to new reporting standards, and which can be migrated to AI-based solutions. • Drive deep analysis of first order pipeline, new business attainment, and other sales metrics using SQL and Python to uncover trends, risks, and opportunities. • Collaborate closely with Sales, Field Operations / RevOps, Finance, and Customer Success partners to translate business needs into scalable analytical solutions and tools. • Own the quality, structure, and usability of sales data in partnership with central data teams, ensuring consistency across Snowflake, dbt models, and other data sources where relevant. • Manage stakeholder expectations and project timelines, prioritizing requests and communicating trade-offs and outcomes in a clear, structured way. • Partner with Customer Success and broader go-to-market teams to align sales analytics with go-to-market and customer success metrics where needed. • Contribute to improving analytics processes, documentation, and standards so the team can work more efficiently and reuse high-impact analytical assets.
• Background working in sales analytics, with hands-on experience interpreting key sales metrics such as pipeline health, quota attainment, and forecast accuracy. • Proficiency with AI and business intelligence tools, with direct experience using Tableau or a similar BI platform and the ability to adapt to GitLab’s tooling and approach. • Practical skills in querying, and transforming data using SQL and Python, and comfort working with modern data warehouses and analytics environments. • Experience with Analytic Engineering and the ability to determine when a solution should be a view, a table, or a custom query to meet long term objectives. • Ability to manage projects and stakeholders, translating business questions into analytical plans and communicating findings to non-technical partners. • Experience supporting sales or go-to-market teams, with familiarity in areas such as new business development, pre-sales, marketing, or small and mid-market sales processes. • Exposure to tools and concepts such as dbt, Snowflake, or comparable technologies, and an understanding of data structures that support scalable reporting. • Clear, structured communication skills in an all-remote, asynchronous environment, including documenting work and collaborating across time zones. • Openness to learning GitLab’s product, data model, and ways of working, with transferable experience from sales, revenue, or field operations analytics roles.
• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave
Apply Now🕒 July 13
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