Manager, Revenue Forecasting & Analytics

• 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.

• 8+ years of experience in financial forecasting, strategic finance, financial analytics, or business planning within a modern SaaS, 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 SaaS 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.

• 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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MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile.

MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel.

Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.

Our solutions give advertisers total transparency and complete control over their campaigns all with the fastest go-live in the industry.

As a result, thousands of top brands have partnered with MNTN, including Tarte, Decked, and National University.

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