GitLab
Pricing Analyst
GitLab is an open‑core software company that develops the most comprehensive AI‑powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co‑create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what’s possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC. The same principles built into our products are reflected in how our team works : we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high‑performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co‑create the future with us as we build technology that transforms how the world develops software. An overview of this role
You’ll shape how GitLab prices, packages, and monetizes our AI‑powered DevSecOps platform including AI capabilities like GitLab Duo. Customers see clear value and teams have simple, fair options. As part of the Pricing team within Product, you’ll turn complex sales, product usage, and billing data into clear guidance, partnering closely with Product, Sales, Finance, and Go‑to‑Market. You’ll build trusted models and dashboards with SQL, Python or R, and Tableau; synthesize pricing research with competitive insights; and translate findings into actionable recommendations. In your first year, you’ll stand up reliable pricing performance reporting, deliver proposals for AI and compute‑intensive feature monetization, refine thresholds and tiers for usage‑based offerings, and establish measurement frameworks to track impact. Some examples of our projects :
Evaluate usage‑based pricing across tiers using consumption and revenue data, with a focus on AI and compute‑intensive capabilities. Analyze discount effectiveness and recommend policy updates; run pricing research (Van Westendorp, Gabor‑Granger, conjoint, MaxDiff) to inform packaging and price points. What you’ll do
Analyze pricing and monetization performance across sales, product usage, and billing data using SQL and Python or R to deliver actionable insights. Build and maintain Tableau dashboards that track key pricing metrics, discounting trends, and usage signals for stakeholders. Develop predictive and scenario models to assess the impact of price, packaging, and discount changes across customer segments and tiers. Evaluate usage‑based pricing by assessing consumption patterns; recommend thresholds, units, and tier structures that align with customer value. Partner with Product Management to define and refine pricing metrics for artificial intelligence (AI) and compute‑intensive features; monitor adoption and usage to inform monetization. Conduct pricing research (Van Westendorp, Gabor‑Granger, conjoint, MaxDiff) and synthesize findings with qualitative insights and competitive analysis to shape recommendations. Establish measurement frameworks and experiments to track outcomes of pricing initiatives; communicate results and proposals to senior leadership. Provide analytical support to Sales and Finance for deal structuring, discount guidance, and policy optimization; drive cross‑functional alignment on pricing changes. What you’ll bring
Experience in pricing or business analytics within a SaaS environment, translating sales, product usage, and billing data into clear pricing insights and recommendations. Advanced SQL proficiency and hands‑on statistical analysis using Python or R; comfort working with large, complex datasets. Skill in building BI dashboards and data visualizations (e.g., Tableau) to monitor pricing performance and adoption. Practical knowledge of discount strategy analysis and optimization, including assessing discount effectiveness and providing deal guidance. Experience evaluating and operationalizing usage‑based pricing models; ability to align pricing metrics with customer value, including AI and compute‑intensive features. Familiarity with pricing research methods (Van Westendorp, Gabor‑Granger, conjoint, MaxDiff) and survey design; ability to synthesize qualitative and quantitative inputs into recommendations. Clear communicator who partners with Product, Finance, Sales, and go‑to‑market teams; capable of presenting to senior stakeholders and defining success measures for pricing initiatives. Background in finance, economics, statistics, business analytics, or a related quantitative field; consideration for candidates with transferable pricing and data analytics skills. About the team
The Pricing team sits within Product and leads GitLab’s pricing and packaging strategy across the platform. We partner closely with Product Management, Sales, Finance, and Go‑to‑Market to define value metrics, evaluate usage‑based models, set discount frameworks, and deliver clear insights that guide monetization decisions, including for AI capabilities like GitLab Duo. The team owns the pricing research and analytics that track pricing performance, usage patterns, and willingness‑to‑pay, and collaborates asynchronously as an all‑remote, globally distributed group. Current focus areas include evolving packaging for AI and compute‑intensive features, aligning usage metrics to customer value, and simplifying policies to improve deal quality and customer experience. United States Salary Range : $84,000 - $180,000 USD
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GitLab is an open‑core software company that develops the most comprehensive AI‑powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co‑create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what’s possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC. The same principles built into our products are reflected in how our team works : we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high‑performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co‑create the future with us as we build technology that transforms how the world develops software. An overview of this role
You’ll shape how GitLab prices, packages, and monetizes our AI‑powered DevSecOps platform including AI capabilities like GitLab Duo. Customers see clear value and teams have simple, fair options. As part of the Pricing team within Product, you’ll turn complex sales, product usage, and billing data into clear guidance, partnering closely with Product, Sales, Finance, and Go‑to‑Market. You’ll build trusted models and dashboards with SQL, Python or R, and Tableau; synthesize pricing research with competitive insights; and translate findings into actionable recommendations. In your first year, you’ll stand up reliable pricing performance reporting, deliver proposals for AI and compute‑intensive feature monetization, refine thresholds and tiers for usage‑based offerings, and establish measurement frameworks to track impact. Some examples of our projects :
Evaluate usage‑based pricing across tiers using consumption and revenue data, with a focus on AI and compute‑intensive capabilities. Analyze discount effectiveness and recommend policy updates; run pricing research (Van Westendorp, Gabor‑Granger, conjoint, MaxDiff) to inform packaging and price points. What you’ll do
Analyze pricing and monetization performance across sales, product usage, and billing data using SQL and Python or R to deliver actionable insights. Build and maintain Tableau dashboards that track key pricing metrics, discounting trends, and usage signals for stakeholders. Develop predictive and scenario models to assess the impact of price, packaging, and discount changes across customer segments and tiers. Evaluate usage‑based pricing by assessing consumption patterns; recommend thresholds, units, and tier structures that align with customer value. Partner with Product Management to define and refine pricing metrics for artificial intelligence (AI) and compute‑intensive features; monitor adoption and usage to inform monetization. Conduct pricing research (Van Westendorp, Gabor‑Granger, conjoint, MaxDiff) and synthesize findings with qualitative insights and competitive analysis to shape recommendations. Establish measurement frameworks and experiments to track outcomes of pricing initiatives; communicate results and proposals to senior leadership. Provide analytical support to Sales and Finance for deal structuring, discount guidance, and policy optimization; drive cross‑functional alignment on pricing changes. What you’ll bring
Experience in pricing or business analytics within a SaaS environment, translating sales, product usage, and billing data into clear pricing insights and recommendations. Advanced SQL proficiency and hands‑on statistical analysis using Python or R; comfort working with large, complex datasets. Skill in building BI dashboards and data visualizations (e.g., Tableau) to monitor pricing performance and adoption. Practical knowledge of discount strategy analysis and optimization, including assessing discount effectiveness and providing deal guidance. Experience evaluating and operationalizing usage‑based pricing models; ability to align pricing metrics with customer value, including AI and compute‑intensive features. Familiarity with pricing research methods (Van Westendorp, Gabor‑Granger, conjoint, MaxDiff) and survey design; ability to synthesize qualitative and quantitative inputs into recommendations. Clear communicator who partners with Product, Finance, Sales, and go‑to‑market teams; capable of presenting to senior stakeholders and defining success measures for pricing initiatives. Background in finance, economics, statistics, business analytics, or a related quantitative field; consideration for candidates with transferable pricing and data analytics skills. About the team
The Pricing team sits within Product and leads GitLab’s pricing and packaging strategy across the platform. We partner closely with Product Management, Sales, Finance, and Go‑to‑Market to define value metrics, evaluate usage‑based models, set discount frameworks, and deliver clear insights that guide monetization decisions, including for AI capabilities like GitLab Duo. The team owns the pricing research and analytics that track pricing performance, usage patterns, and willingness‑to‑pay, and collaborates asynchronously as an all‑remote, globally distributed group. Current focus areas include evolving packaging for AI and compute‑intensive features, aligning usage metrics to customer value, and simplifying policies to improve deal quality and customer experience. United States Salary Range : $84,000 - $180,000 USD
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