
Artificial Intelligence • Enterprise • SaaS
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.
1001 - 5000 employees
Founded 2014
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 Secondary Market on 2020-11
2 days ago

Artificial Intelligence • Enterprise • SaaS
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.
1001 - 5000 employees
Founded 2014
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 Secondary Market on 2020-11
• Build end-to-end funnel analysis connecting website visits to CRM data and to product usage, establishing new data pipelines where gaps exist. • Analyze complex data sets in Snowflake and other sources using SQL and dbt to uncover insights that inform Product Led Growth and web marketing strategies. • Develop and maintain Tableau dashboards and reports that provide clear, consistent marketing metrics and a strong user experience for stakeholders. • Collaborate with Marketing leadership to scope and deliver ad-hoc analyses, such as identifying high-performing web pages, optimizing the marketing website, and diagnosing funnel performance. • Partner with teams using Google Analytics, Google Tag Manager, Salesforce, and Marketo to ensure data quality, alignment on definitions, and end-to-end visibility across the marketing funnel. • Present findings and recommendations to marketing stakeholders and executive leadership in a clear, compelling way that supports data-driven decisions. • Collaborate with marketing operations on lifecycle campaigns, tracking email engagement into product activation. • Contribute to Marketing Analytics infrastructure including data model improvements and handbook documentation.
• Strong analytical skills with the ability to frame ambiguous business questions, structure analysis, and translate findings into clear recommendations for marketing stakeholders. • Proficiency in SQL, Tableau (or similar), and Snowflake to build, maintain, and optimize scalable marketing reporting and dashboards. • Experience building and interpreting Product Led Growth (PLG) metrics and funnels and collaborating with marketing operations to build and scale PLG campaigns in a B2B or large B2C environment. • Deep understanding of Google Analytics, Google Tag Manager, and web analytics data to evaluate site performance and suggest optimizations. • Familiarity working with Salesforce and Marketo data and reporting to connect marketing activities to pipeline and revenue outcomes. • Ability to communicate complex analyses in a clear, concise way through presentations, written narratives, and data visualizations for both technical and non-technical audiences. • Comfort working in an all-remote, asynchronous environment, including breaking work into short delivery milestones and using Agile practices. • Alignment with GitLab’s values and openness to applying transferable skills from related analytics, marketing operations, or business intelligence roles. • Experience building DBT models and using Python for complex data analysis is helpful but not required.
• 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 • Home office support
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