Manager, Revenue Forecasting & Analytics

We’re looking for a

Manager, Revenue Forecasting & Analytics to lead the team responsible for building and scaling MNTN’s forecasting capabilities.

Reporting to the Senior Manager, Business Analytics Engineering, you’ll own the models, methodologies, and planning processes that drive revenue forecasting, spend forecasting, net revenue projections, and executive scenario planning.

This is not a traditional FP&A role.

Rather than owning budgets, accounting, close, or financial reporting, you’ll own the forecasting function, developing scalable models and planning frameworks that help predict where the business is going, not simply report where it’s been.

Success in this role depends on your ability to continuously identify what’s preventing forecasts from being as accurate and timely as they could be.

Sometimes the answer is improving a forecasting model.

Other times it means uncovering gaps in upstream business processes, data quality, or systems and driving cross‑functional solutions to address them.

You’ll need to influence without direct authority, partnering across Finance, Revenue, Data, and Engineering to strengthen the inputs that power business planning.

We’re looking for someone who has built forecasting capabilities in a modern technology company and understands how finance, data, and engineering come together to power scalable business planning.

• What You’ll Do
• Lead, coach, and develop a team of Financial Analytics Engineers, setting priorities, driving execution, and fostering a high‑performing, accountable culture.
• Own the company’s forecasting methodology across revenue, spend, net revenue, and company planning, continuously improving forecast accuracy and consistency.
• Design, build, and evolve driver‑based forecasting models that support executive decision‑making, long‑range planning, and scenario analysis.
• Continuously identify gaps in data, systems, and business processes that limit forecasting accuracy or scalability, and lead cross‑functional efforts to resolve them.
• Influence stakeholders across Finance, Revenue, Operations, Data, and Engineering to implement process improvements, improve data quality, and strengthen the systems that power forecasting.
• Lead the evolution of forecasting from spreadsheet‑driven processes to scalable planning platforms and repeatable workflows.
• Partner with Engineering to operationalize forecasting models within modern data platforms and planning tools.
• Establish governance, documentation, and feedback loops that measure forecast performance, identify root causes of variance, and drive continuous improvement.
• What You’ll Bring
• 8+ years of experience in financial forecasting, strategic finance, financial analytics, or business planning within a modern Saa S, fintech, advertising technology, or other high‑growth technology company.
• 4+ years of people management experience, with a proven track record of building, coaching, and developing high‑performing technical or analytics teams.
• Deep expertise building forecasting models for revenue, spend, net revenue, and long‑range planning in a technology business.
• Strong understanding of Saa S and technology business metrics, unit economics, financial statements, and forecasting methodologies.
• Demonstrated ability to identify root causes behind forecasting or planning challenges and drive improvements to business processes, systems, or data quality.
• Proven success influencing cross‑functional stakeholders without direct authority to implement operational or technical change.
• Experience with enterprise planning platforms such as Adaptive Planning, Anaplan, Pigment, or similar forecasting tools.
• Comfortable using SQL to validate and explore data; deep analytics engineering expertise is not required.
• What Success Looks Like
• Forecast accuracy improves because you’ve systematically identified and resolved the underlying data, process, and systems gaps—not just refined forecasting models.
• Revenue, spend, and company forecasts become trusted inputs for executive decision‑making because assumptions are transparent, methodologies are consistent, and business inputs are reliable.
• Cross‑functional teams adopt new processes and system improvements that strengthen the quality, consistency, and timeliness of forecasting inputs.
• Forecasting evolves from a spreadsheet‑driven exercise into a scalable planning capability supported by modern systems, reliable data, and repeatable workflows.
• Your team is recognized as a trusted strategic partner, proactively identifying risks, surfacing opportunities, and driving improvements across Finance, Revenue, Operations, Data, and Engineering.
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