Note: The job is a remote job and is open to candidates in USA. MNTN is a company that prioritizes its people and fosters a culture of trust and innovation. They are seeking a Manager, Revenue Forecasting & Analytics to lead the team responsible for developing and scaling forecasting capabilities, focusing on improving accuracy and efficiency in revenue and spend forecasting.
Responsibilities
- 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
Skills
- 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
Company Overview