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Senior Pricing & Monetization Scientist

Senior Pricing & Monetization Scientist

CompanyFivetran
LocationOakland, CA, USA
Salary$185404.89 – $231756.11
TypeFull-Time
DegreesMaster’s, PhD
Experience LevelSenior

Requirements

  • 5–8 years designing or operating SaaS or sophisticated B2C pricing models, preferably with usage‑based or behavioral pricing experience
  • Deep quantitative chops—advanced degree (PhD/MSc) in Economics, Statistics, Operations Research, Applied Math, or similar
  • Fluency in SQL and Python for large‑scale data analysis; proficiency with BI tools such as Looker or Tableau; bonus for dbt
  • Strong attention to detail and data analysis skills – including interpretation of results and recommending actions
  • Proven record of turning complex models into recommendations and shipping changes that moved ARR, gross margin, or NRR
  • Collaborative mindset with Product, Analytics, Finance, Sales, and Legal; you can navigate from whiteboard to contract terms with ease
  • Strong communication and presentation skills with ability to influence at the executive level

Responsibilities

  • Analyze product usage, deal, and billing data to model different pricing and monetization scenarios
  • Design and manage frameworks to assess our customers willingness to pay and value vs. cost across segments in our product and customer portfolio
  • Conduct structured research on pricing mechanisms in similar and adjacent markets and product categories
  • Run pricing experiments in partnership with Product
  • Build econometric, value‑based pricing models that quantify elasticity, ROI, and lifetime value for every product line and customer cohort
  • Drive user research and conduct customer/prospect interviews to understand pain points and convert them to actionable insights
  • Collaborate closely with Product, Analytics, Sales, and Legal to drive end-to-end outcomes
  • Help define KPIs and dashboards to monitor health and identify opportunities for our evolving pricing strategy
  • Continuously drive changes to optimize our pricing strategy to boost ARR and better align price to value

Preferred Qualifications

    No preferred qualifications provided.