Manager, Revenue Forecasting & Analytics

1 month, 4 weeks ago
Full-time
Lead
Data Science and Analytics
MNTN

MNTN

MNTN offers a Connected TV advertising platform that focuses on performance marketing, enabling businesses to achieve measurable conversions, revenue, and site visits through outcome-based advertising strategies.

Media
251-1K
$184M raised

Description

  • Lead, coach, and develop a team of Financial Analytics Engineers while setting priorities and driving execution.
  • Own forecasting methodology across revenue, spend, net revenue, and company planning.
  • Design, build, and evolve driver-based forecasting models for executive decision-making, long-range planning, and scenario analysis.
  • 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 improve data quality, processes, and forecasting systems.
  • Lead the transition from spreadsheet-driven forecasting 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 to measure forecast performance, analyze variances, 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 building, coaching, and developing high-performing technical or analytics teams.
  • Deep expertise in 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 improve business processes, systems, or data quality.
  • Proven success influencing cross-functional stakeholders without direct authority to drive operational or technical change.
  • Experience with enterprise planning platforms such as Adaptive Planning, Anaplan, Pigment, or similar tools.
  • Comfort using SQL to validate and explore data; deep analytics engineering expertise is not required.

Benefits

  • Remote-friendly role (#LI-Remote).
  • Opportunity to work for a company recognized as one of Ad Age’s Best Places To Work in 2026.
  • Work for a company named one of Fast Company's Most Innovative Companies in 2023.
  • Join a people-first culture centered on trust, ambition, quality, radical honesty, and compassionate leadership.

Interested in this position?

Apply directly on the company website

Apply Now

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