MongoDB

MongoDB

Pricing & Monetization Associate

Toronto · Senior

Sponsorship not specifiedDetected 4 days ago
PythonSQLMongoDBAWSGCPProduct ManagementProduct StrategyFinancial AnalysisExcelLeadershipCommunicationMicrosoft Office

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 29 green-card filings in this occupation, 97% were for a worker who already held the job.

Green-card intent detected

MONGODB, INC. obtained a prevailing wage determination for Software Developers in San Francisco, CALIFORNIA on 2026-06-29. No matching green-card filing appears in our data yet. The determination expires in 21 days (2026-09-26), and a green-card filing must follow before then or the employer starts over.

Green-card follow-through: 59%

Of 17 labor certifications old enough to have been used, 7 expired without the employer filing the next step. Median time from filing to decision: 495 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

16 transfer filings in the last year, covering 16 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This role can be based out of our Toronto office or remotely in the Toronto region.
  • Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win.
  • Learn more about what it's like to work at MongoDB, and help us make an impact on the world!

Responsibilities

  • Lead pricing and packaging strategies for new product launches and for adjustments to existing offerings, including analyzing historical customer data, building business cases, and evaluating trade-offs
  • Own complex financial and operational models (e.g. revenue, margin, customer cohorting, usage models) to quantify the impact of pricing and monetization decisions
  • Partner with Finance, Engineer, Product Management, and GTM to develop and execute cohesive strategies that align with customer needs, product roadmap, and financial objectives
  • Drive cross-functional execution to operationalize decisions around SKUs, billing, selling, tooling, and performance of product changes
  • Collaborate with Engineering to understand infrastructure costs, technical dependencies, and architecture decisions, translating these inputs into unit economics and pricing models
  • Proven track record of using data to drive business decisions including the ability to structure problems for analysis
  • MongoDB is seeking an Associate on the Pricing & Monetization team to own decisions on how we deliver products and drive sustainable revenue growth.
  • This position requires a driven self-starter with proven experience in building data-driven business cases, communicating complex recommendations to leadership, and operating cross-functionally to solve business problems.
  • You take tasks from start to finish, are able to deliver value quickly, and enjoy working in a dynamic, fast-paced, and challenging environment.

Requirements

  • 5+ years of experience in strategy, business operations, or financial analysis with 2-3 years as a management consultant or in a comparable role at a technology company
  • Excellent communication skills with the ability to synthesize strategic insights in an actionable and compelling manner
  • Ability to move quickly and iterate on analyses
  • Comfort with ambiguity, solving complex problems, and working in a self-guided manner

Nice to have

  • BA/BS in a quantitative field, MBA preferred
  • Confidence using SQL for fetching and manipulating data
  • experience with a scripting language such as Python is a plus

Company info

  • With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we're powering the next era of software.

This listing is sourced directly from MongoDB's careers page and normalized into a canonical job model.