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Senior

Fivetran
Remote - California, United States, AMERUpdated 3d ago
Compensation
$209k–$262k
Published range
Location
Remote - California, United States, AMER
Remote eligibility
Employment
Full-time
Senior
Role family
Data
B2B SaaS
Apply on fivetran.com
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About the job

About the Role

This role sits at the intersection of economics, analytics, product, and strategy. You will combine rigorous quantitative analysis with customer research and commercial thinking to shape how Fivetran prices, packages, and monetizes its products.

What You'll Do

  • Analyze product usage, deal, financial, and billing data to model pricing, packaging, and monetization scenarios.
  • Design frameworks to assess willingness to pay, customer value, and price realization across customer segments and product lines.
  • Conduct research on pricing strategies, packaging models, and monetization approaches across comparable and adjacent markets.
  • Lead pricing and packaging strategy for new product launches, partnering with Product, GTM, and Finance.
  • Build value-based pricing and econometric models to quantify elasticity, customer ROI, and lifetime value.
  • Design and execute pricing experiments.
  • Synthesize quantitative analysis, customer research, and competitive intelligence into executive recommendations.
  • Drive customer and prospect research to understand purchasing behavior, value perception, and pricing friction.
  • Partner with Product, Analytics, Finance, Sales, Marketing, and Legal to deliver end-to-end pricing initiatives.
  • Define KPIs and dashboards that measure pricing performance and identify optimization opportunities.
  • Continuously evolve pricing and packaging strategy to improve ARR growth, customer adoption, and value realization.

Skills We're Looking For

  • 5–8 years designing or operating SaaS or sophisticated B2C pricing models, preferably with usage-based or behavioral pricing experience.
  • 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.
  • Hands-on experience with conjoint, MaxDiff, Gabor-Granger, or Van Westendorp surveys and causal experiment design.
  • Strong attention to detail and data analysis skills.
  • 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.
  • Strong communication and presentation skills with ability to influence at the executive level.

Compensation & Benefits

Pay Range: $209,378—$261,723 USD. Benefits include 100% employer-paid medical insurance, generous paid time off including paid vacation or flexible/unlimited vacation, paid sick time, inclusive parental leave, paid holidays, RSU stock grants, professional development and training opportunities, monthly cell phone stipend, and access to a mental health support platform.

Skills & tags

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