MNTN is hiring a Manager, Revenue Forecasting & Analytics to lead and scale forecasting capabilities including revenue, spend, net revenue, and executive scenario planning. The role reports to Senior Manager, Business Analytics Engineering and focuses on building scalable forecasting models and planning frameworks. Responsibilities include leading a team of Financial Analytics Engineers, improving forecasting accuracy, identifying and resolving data and process gaps, influencing cross-functional stakeholders, and transitioning forecasting from spreadsheets to scalable platforms. Requirements include 8+ years in financial forecasting or related fields in a tech company, 4+ years managing technical or analytics teams, expertise in forecasting models and SaaS business metrics, experience with planning platforms like Adaptive Planning or Anaplan, and proficiency in SQL for data validation. The position is full-time and remote, based in the United States.
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
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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
Requirements
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
