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Pricing Specialist - Structural Pricing & Packaging

Coursera

Clock

Posted 21 hours ago

Influence long-term commercial strategy globally as a Pricing Specialist with Coursera.

Overview

icon Salary

£106000 - £132000

icon Location

Denver, Colorado

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Organisation summary Coursera works with universities and other organizations to offer online courses, specializations, and degrees in a variety of subjects, such as engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digit...

Role Summary

  • Partner with the Pricing Lead to develop pricing strategies across Marketplace, Subscription, and future product offerings.
  • Design pricing architecture including list prices, regional pricing, packaging, bundles and subscription tiers.
  • Develop business cases for pricing changes using data driven insights, competitive analysis, and financial modeling.
  • Design and evaluate pricing experiments to better understand willingness-to-pay, price elasticity, and customer behavior.
  • Analyze pricing performance and recommend improvements that optimize conversion, GMV, and customer lifetime value.
  • Collaborate with Product, Marketing, Engineering, Analytics, and Finance to translate pricing strategy into executable initiatives.
  • Monitor industry trends and competitive pricing models to identify new monetization opportunities.
  • Present pricing recommendations and experiment findings to senior stakeholders.

Role Requirements

  • Bachelor's degree in Business, Economics, Finance, Marketing, Analytics, or a related field.
  • 4–7+ years of experience in pricing, strategy, consulting, product strategy, monetization, or analytics.
  • Strong analytical and quantitative skills, including experience working with large datasets.
  • Experience developing business cases and presenting recommendations to cross-functional stakeholders.
  • Familiarity with pricing experimentation, A/B testing, or customer segmentation.
  • Excellent written and verbal communication skills.
  • Experience with SQL, Excel, Tableau, or similar analytical tools preferred.

As a Pricing Specialist focused on Structural Pricing & Packaging, you will help define how Udemy monetizes its products across Marketplace, Subscription, and future integrated Coursera + Udemy offerings. Working closely with the Pricing Lead, you'll shape pricing architecture, packaging strategy, and experimentation that drive sustainable revenue growth while improving customer lifetime value. This is an opportunity to influence long-term commercial strategy at a global scale.

What you’ll be doing

Partner with the Pricing Lead to develop pricing strategies across Marketplace, Subscription, and future product offerings. Design pricing architecture including list prices, regional pricing, packaging, bundles and subscription tiers Develop business cases for pricing changes using data driven insights, competitive analysis, and financial modeling. Design and evaluate pricing experiments to better understand willingness-to-pay, price elasticity, and customer behavior. Analyze pricing performance and recommend improvements that optimize conversion, GMV, and customer lifetime value. Collaborate with Product, Marketing, Engineering, Analytics, and Finance to translate pricing strategy into executable initiatives. Monitor industry trends and competitive pricing models to identify new monetization opportunities. Present pricing recommendations and experiment findings to senior stakeholders.

What you’ll have

Bachelor's degree in Business, Economics, Finance, Marketing, Analytics, or a related field. 4–7+ years of experience in pricing, strategy, consulting, product strategy, monetization, or analytics. Strong analytical and quantitative skills, including experience working with large datasets. Experience developing business cases and presenting recommendations to cross-functional stakeholders. Familiarity with pricing experimentation, A/B testing, or customer segmentation. Excellent written and verbal communication skills. Experience with SQL, Excel, Tableau, or similar analytical tools preferred.

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