Level

MongoDB

Pricing & Monetization Associate

MongoDB is hiring a Pricing & Monetization Associate for a remote role open to applicants in Canada. Level rates it ; you can apply on MongoDB.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • This is listed as a remote role.
  • The posting mentions financial modeling, pricing strategy and data analysis among its tools and skills.
  • Level classes it as a mid-level role.
  • MongoDB has 381 other open roles on Level.

AI in this role

Own pricing and monetization strategies, financial models, and go-to-market business cases for product launches at MongoDB.

financial-modelingpricing-strategydata-analysisbusiness-operationscross-functional-leadership

MongoDB is seeking an Associate on the Pricing & Monetization team to own decisions on how we deliver products and drive sustainable revenue growth. In this role, you will sit at the intersection of product strategy, engineering, analytics, finance, and business operations, working closely with internal stakeholders to identify and translate ambiguous business problems into structured product recommendations. 

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. You are interested in both diving deep into product data and also extracting executive-level insights to drive strategic decision-making.

This role can be based out of our Toronto office or remotely in the Toronto region.

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
  • 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 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

Requirements

  • BA/BS in a quantitative field, MBA preferred
  • 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
  • Proven track record of using data to drive business decisions including the ability to structure problems for analysis
  • Excellent communication skills with the ability to synthesize strategic insights in an actionable and compelling manner
  • Advanced Excel and Google Slides or PowerPoint skills
  • Confidence using SQL for fetching and manipulating data; experience with a scripting language such as Python is a plus
  • Ability to move quickly and iterate on analyses
  • Comfort with ambiguity, solving complex problems, and working in a self-guided manner
  • Interest in the intersection of product strategy, finance, and business operations

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

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.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req. ID: 3273518058

How we rate this

Pricing & Monetization Associate at MongoDB rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Financial ModelingPricing StrategyData AnalysisBusiness OperationsCross Functional Leadership

Questions you could be asked

  1. Tell me about a project where financial modeling was part of your work. What did you do?
  2. Tell me about a project where pricing strategy was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where business operations was part of your work. What did you do?
  5. Tell me about a project where cross functional leadership was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Financial Modeling, Pricing Strategy, Data Analysis, Business Operations, and Cross Functional Leadership. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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