Headquarters: Canada

URL: http://www.mozilla.org

Why Mozilla?
Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we're shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, security and more. And we're doing this while never losing our focus on our core mission – to make the internet better for people.

The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren't beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

About this team and role:
Mozilla Finance partners with business units to drive strategic resource allocation and financial insight across our product portfolio. Our team of analysts supports revenue and cost ownership across Search, Advertising, Firefox, Marketing, and New Products.

We're adding a commercially-minded analyst will cover three areas: New Products (revenue and costs for B2B and SaaS-type initiatives), Ads revenue analysis in partnership with our Data Science team, and Marketing cost  including labor and program spend reconciliation through close.

Beyond ownership of those areas, you'll contribute to the team's broader push to standardize how we plan and report. This role reports to the Senior Director, Finance and works alongside three senior analysts.

The right person has done commercial finance in a B2B environment, is comfortable working with data scientists, and doesn't wait to be asked before making something better.

What you'll do:

• Own New Products financials: Maintain the forecast for New Products revenue and costs (labor + program spend). Validate inputs, reconcile actuals through close, and document drivers. Maintain position-level detail on how labor is forecasted and reported

• B2B Financial Modelling. Once a B2B deal or New Products initiative is live, maintain an ongoing financial model,  updating commercial assumptions as the business evolves. Keep operating view current as actuals come in and support with ad hoc scenarios as needed.

• Support Ads revenue analysis. Partner with Data Science to conduct deep-dive research into Ads revenue trends, building the analytical frameworks and recurring views that help the business understand performance and pursue growth. Translate findings into clear insights.

• Marketing cost reconciliation. Support reconciliation of Marketing program spend, coordinating with the Marketing cost lead to ensure accuracy through close and flagging issues before they compound.

• Drive team standardization and reporting: Help build shared processes and templates so results can be presented as a unified view.

• Be a reliable business partner. Field data and reporting questions, anticipate stakeholder needs, and communicate complex information in terms non-finance partners can use — escalating items that call for a broader partnership discussion.

• Apply AI and automation to recurring work: Identify opportunities to reduce manual effort across forecast, close, and reporting cycles.

What you'll bring:
Core Experience

• 3–5 years of experience in commercial finance, B2B finance, FP&A, or a comparable analytical finance role, including hands-on work through a full budget and forecast cycle with close and variance analysis.

• B2B commercial experience required. Familiarity with revenue modeling, deal economics, or partner, SaaS, or subscription revenue models in a B2B context.

• Bachelor's degree in Finance, Accounting, Economics, or another quantitative field, or equivalent experience.

Technical Skills

• Advanced spreadsheet and financial modeling skills. You care about formula cleanliness, auditability, and accuracy.

• Experience with enterprise planning tools (Pigment, Adaptive, Workday, etc.) and accounting systems (NetSuite preferred).

• Grounding in accounting fundamentals, including accruals and the monthly close cycle.

• Comfort working with data science or analytics teams. Able to interpret analytical outputs, ask the right questions, and translate findings into financial terms.

• Experience with revenue analysis or commercial modeling, including reconciling actuals to forecast in a multi-product or multi-channel environment.

• Interest in applying AI, automation, and systems thinking to reduce manual effort in recurring finance work.

• Ability to balance multiple competing priorities and cycle deadlines without loss of accuracy.

Communication & Collaboration

• Strong written and verbal communication skills, including the ability to explain a variance, a revenue trend, or a forecast assumption clearly to a non-finance audience.

• Experience building effective working relationships across functions. You know when to loop people in, can adjust how you present depending on who's in the room, and back your points with both numbers and context.

• Ability to distill complex detail into structured summaries that business partners and senior stakeholders can act on.

• Positive attitude, intellectual curiosity, and the drive to learn a new business quickly.

Nice to have:

• Experience in B2B SaaS revenue analysis, digital advertising, and search monetization

• Familiarity with revenue reconciliation or commercial reporting in a multi-product environment

• Experience building automations or AI-assisted workflows within a Finance context, or the drive and resourcefulness to learn.

• Experience with BI tools, SQL, Python, Power Query, or other data querying and programming languages.

Success Factors
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