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Pricing Analyst

GitLab

Full-time
North America, Latin America, EMEA
$84k-$180k per year
analyst
python
sql
economics
statistics
Apply for this position

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—so 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. 

Remote-Global

The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

United States Salary Range

$84,000—$180,000 USD

Apply for this position
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About the job

Full-time
North America, Latin America, EMEA
$84k-$180k per year
Posted 2 hours ago
analyst
python
sql
economics
statistics

Apply for this position

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Pricing Analyst

GitLab

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—so 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. 

Remote-Global

The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

United States Salary Range

$84,000—$180,000 USD

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