Sr. Manager, Pricing Analytics & Strategy

Leadout Capital

San Francisco (CA)

Hybride

USD 180 000 - 260 000

Plein temps

Il y a 5 jours
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Résumé du poste

Leadout Capital is seeking a Sr. Manager of Pricing Analytics & Strategy to join the Corporate Strategy team.

You will drive monetization initiatives, define KPIs, and build scalable reporting infrastructure to enable faster, data-driven decision-making across Pricing, Packaging, Product Operations, and field teams. You will combine deep quantitative analysis with operational enablement, translating complex pricing data into actionable insights while shaping the measurement framework that powers

Qualifications

  • 8+ years at a high-growth tech company or top consulting in pricing analytics, strategic ops, or GTM/Pricing
  • Degree in Business, Finance, Economics, Statistics, Data Science or related quantitative field (MS/PhD a strong plus) or equivalent experience.

Responsabilités

  • Measure pricing initiatives impact and lead strategic analysis for monetization decisions
  • Champion AI tools to accelerate analytics workflows and automate reporting
  • Identify monetization growth drivers and optimization opportunities
  • Define metrics and build scalable dashboards and reports to monitor pricing health
  • Enable strategic initiatives with data-driven guidance and operational tools across teams

Connaissances

Pricing analytics
Strategic operations
Go-To-Market strategy

Formation

Bachelor's degree in Business, Finance, Economics, Statistics, Data Science
MS/PhD in quantitative field (strong plus)

Outils

Tableau
Excel/Google Sheets
SQL

Description du poste

The Experience

We are looking for a Sr. Manager, Pricing Analytics & Strategy to join the Corporate Strategy team to help drive measurement and optimization of our top monetization initiatives. In this role, you will work with cross-functional partners including Pricing & Packaging, Product Operations, Deal Desk, GTM Strategy, and field teams to define key performance metrics, build scalable reporting infrastructure, and deliver strategic insights that increase transparency, accelerate decision-making, and drive measurable business impact.

This is a hybrid strategic analytics role: you'll combine deep quantitative analysis with operational enablement, translating complex pricing data into actionable insights while building the measurement frameworks that power our monetization strategy.

What You'll Actually Be Doing
  • Measure the impact of pricing initiatives and lead strategic analysis to support and progress key pricing and monetization decisions
  • Explore and champion the use of AI tools to accelerate analytics workflows, automate reporting, and scale insight delivery across the team
  • Conduct evidence-based evaluations to determine key drivers of monetization growth and identify optimization opportunities
  • Define key performance metrics and build scalable reports, dashboards, and automated resources to monitor the health of pricing initiatives
  • Build and deliver frameworks to measure Corporate Strategy priorities and initiatives
  • Enable key strategic initiatives through data-driven guidance, training materials, and operational tools for Deal Desk, renewals teams, OUs, and field sellers
  • Work across the broader product portfolio and Strategy teams to collaborate, learn, and scale best practices

You're Our Person If...

  • 8+ years at a high-growth tech company in pricing analytics, strategic sales/business operations, or at a top management consulting firm with strong exposure to Go-To-Market/Product Strategy/Pricing assignments
  • Degree in Business, Finance, Economics, Statistics, Data Science, or another quantitative field (Advanced degree MS/PhD in quantitative field is a strong plus) or equivalent experience.

Even Better If...

  • Advanced data exploration and analysis skills: comfortable applying statistical techniques to answer complex business questions
  • Highly proficient in Tableau, Excel / Google Sheets for building executive-facing dashboards and reports
  • Proficient SQL skills: able to write complex queries to extract, manipulate, and analyze data from large-scale data platforms
  • Experience leveraging AI tools to accelerate analytics workflows, automate reporting, or enhance insight generation
  • Programming for analytics: Experience with Python or R for data science workflows is a strong plus
  • Excellent communicator in written and verbal form, able to translate complex information into easily consumable insights for executive audiences,
  • No ego. Extremely collaborative. Bias towards action.
  • Comfortable operating in a fast-paced environment with a sense of urgency and ability to adjust on the fly to unplanned situations
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