# Manager, Revenue Forecasting & Analytics

**Company:** [Mntn](https://hotfix.jobs/companies/mntn)
**Location:** Remote
**Role:** Revenue Operations
**Experience:** 8+ years
**Skills:** financial forecasting, SQL, anaplan, adaptive planning, pigment, SaaS Metrics, Unit Economics, driver-based modeling
**Posted:** 2026-07-14

> Lead a team building and scaling revenue, spend, and net revenue forecasting models and methodologies at a high-growth SaaS company. Identify and resolve data, process, and systems gaps while partnering cross-functionally with Finance, Revenue, Data, and Engineering to evolve forecasting into scalable platforms.

## Job Description

## 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 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.

## 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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