Pricing & Monetization Associate

MongoDB•New York, NY

6h•$84,000 - $165,000•Hybrid

About The Position

MongoDB is seeking a Senior Analyst to join its Pricing & Monetization team and help shape product delivery and sustainable revenue growth. The role works across product strategy, engineering, analytics, finance, and business operations to identify ambiguous business problems and turn them into structured product recommendations. The successful candidate will communicate effectively with leadership, manage multiple priorities, take work from start to finish, and deliver insights in a fast-paced environment. The position combines detailed product-data analysis with executive-level insights for strategic decision-making. This is a hybrid, in-office role based approximately three days per week in MongoDB’s New York City office. The role evaluates pricing and packaging for product launches and existing offerings, builds financial and operational models, partners with cross-functional teams to execute strategies, and translates technical and infrastructure considerations into unit economics and pricing models. MongoDB describes itself as a data platform company serving more than 67,000 customers, including approximately 75% of the Fortune 100. Its platform is available across AWS, Google Cloud, and Microsoft Azure. The company states that it is committed to employee growth and wellbeing and provides accommodations during the application and interview process.

Requirements

Bachelor of Arts or Bachelor of Science in a quantitative field.
2–5 years of experience in strategy, business operations, or financial analysis and operations; management consulting or experience at a data-driven product or technology company is preferred.
Demonstrated ability to use data to drive business decisions and structure problems for analysis.
Excellent communication skills and ability to synthesize strategic insights into actionable, compelling recommendations.
Advanced Excel and Google Slides or PowerPoint skills.
Confidence using SQL to fetch and manipulate data.
Ability to move quickly and iterate on analyses.
Comfort with ambiguity, complex problem-solving, and working independently in a self-guided manner.
Interest in the intersection of product strategy, finance, and business operations.

Nice To Haves

Experience at a management consulting firm or a data-driven product or technology company.
Experience with a scripting language such as Python.

Responsibilities

Evaluate and propose pricing and packaging for new product launches and changes to existing offerings, including analyzing historical customer data, building business cases, and assessing trade-offs.
Build financial and operational models, such as revenue, margin, customer cohorting, and usage models, to quantify the impact of pricing and monetization decisions and support product decisions.
Partner with Finance, Engineering, Product Management, and go-to-market teams to develop and execute strategies aligned with customer needs, product roadmap, and financial objectives.
Communicate strategic insights and recommendations to leadership.
Conduct competitive benchmarking to understand market dynamics and research and development investment opportunities.
Drive cross-functional execution to operationalize decisions involving 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.