# Pricing & Monetization Associate

**Company:** [MongoDB](https://hotfix.jobs/companies/mongodb)
**Location:** Toronto, Canada
**Role:** Business Operations
**Experience:** 5+ years
**Skills:** Excel, Google Slides, PowerPoint, SQL, Python, Financial Modeling, Pricing Strategy, Competitive Benchmarking, Data Analysis, Product Strategy
**Posted:** 2026-08-13

> Develops pricing, packaging, and monetization strategies by analyzing customer and product data, building financial models, and translating infrastructure and market inputs into recommendations. Requires 5+ years in strategy, business operations, or financial analysis and strong cross-functional communication.

## Job Description

## Responsibilities

- Lead pricing and packaging strategies for new product launches and adjustments to existing offerings, including analyzing historical customer data, building business cases, and evaluating trade-offs.
- Own complex financial and operational models, including revenue, margin, customer cohorting, and usage models, to quantify the impact of pricing and monetization decisions.
- Partner with Finance, Engineering, Product Management, and GTM to develop and execute cohesive strategies aligned with customer needs, product roadmaps, and financial objectives.
- Communicate strategic insights and recommendations to leadership.
- Conduct competitive benchmarking to understand market dynamics and R&D investment opportunities.
- Drive cross-functional execution to operationalize decisions around SKUs, billing, selling, tooling, and product-change performance.
- Collaborate with Engineering to understand infrastructure costs, technical dependencies, and architecture decisions, translating these inputs into unit economics and pricing models.

## Requirements

- Bachelor's degree in a quantitative field; MBA preferred.
- 5+ years of experience in strategy, business operations, or financial analysis, including 2–3 years as a management consultant or in a comparable technology-company role.
- Proven track record of using data to drive business decisions and structuring problems for analysis.
- Excellent communication skills, with the ability to synthesize strategic insights into actionable and compelling recommendations.
- Advanced Excel and Google Slides or PowerPoint skills.
- Confidence using SQL to fetch and manipulate data; experience with Python is a plus.
- Ability to move quickly and iterate on analyses.
- Comfort with ambiguity, solving complex problems, and working independently.
- Interest in the intersection of product strategy, finance, and business operations.

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