Pricing & Monetization Associate

MongoDB

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Toronto, Ontario, Canada
Posted
30 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $155k
$106k most similar roles pay here $201k

This listing doesn't post a salary. Most similar roles pay $118,426–$192,006.

Based on 240 similar postings.

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About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 311 open roles on FindRole.

Listed pay typically runs $126,000–$226,000 across 95 roles with salary data.

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At a glance

TL;DR · Pricing & Monetization Associate

The Pricing & Monetization Associate joins the Pricing & Monetization team to own decisions regarding product delivery and sustainable revenue growth. This role sits at the intersection of product strategy, engineering, analytics, finance, and business operations. You will translate ambiguous business problems into structured recommendations by leading pricing and packaging strategies for new and existing offerings. Daily responsibilities include building complex financial and operational models for revenue, margin, and customer cohorting while conducting competitive benchmarking to understand market dynamics. You will collaborate with Engineering to translate infrastructure costs and technical dependencies into unit economics. The role requires proficiency in Excel, Google Slides or PowerPoint, and SQL, with Python as a plus. You must possess strong skills in data-driven business case construction and the ability to communicate strategic insights to leadership regarding pricing models and product performance.

What you'll do

  • Lead pricing and packaging strategies for new product launches and existing offerings by analyzing customer data and building business cases.
  • Develop complex financial and operational models to quantify the impact of pricing, revenue, margin, and usage decisions.
  • Translate technical infrastructure costs and architecture decisions into unit economics and pricing models with Engineering.
  • Conduct competitive benchmarking to analyze market dynamics and identify R&D investment opportunities.
  • Communicate strategic insights and data-driven recommendations to executive leadership.
  • Drive cross-functional execution to operationalize decisions regarding SKUs, billing systems, and sales tooling.
  • Translate ambiguous business problems into structured product recommendations for internal stakeholders.

What we're looking for

  • BA/BS in a quantitative field (MBA preferred).
  • 5+ years of experience in strategy, business operations, or financial analysis.
  • 2-3 years of experience as a management consultant or in a comparable role at a technology company.
  • Proven track record of using data to drive business decisions and structuring problems for analysis.
  • Excellent communication skills to synthesize strategic insights into actionable and compelling recommendations.
  • Advanced Excel and Google Slides or PowerPoint skills.
  • Confidence using SQL for fetching and manipulating data.
  • Experience with a scripting language such as Python (preferred).

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