About Moloco

Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet.

Today, Moloco is one company with two businesses, built on the same compound AI system. Moloco Ads is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. Moloco Commerce Media is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture), the AI system behind every Moloco product.

At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next.

The Impact You'll Be Contributing to Moloco

Revenue forecasts shape where Moloco invests, how Sales sets its targets, and what Product builds next. As a Manager, Business Analytics focused on Revenue Forecasting, you’ll help own that forecast.

You’ll develop, test, and refine models for advertiser spend and revenue across the business and its product lines, using both driver-based and statistical methods, and backtest regularly so accuracy keeps improving. You’ll run the weekly and quarterly revenue management cycles, including reporting, forecast refreshes, and variance analysis that explains what changed and why.

You’ll also dig into revenue levers and pricing performance across advertiser segments and verticals, bringing findings that balance revenue growth with advertiser value. Working with Finance, Sales, and Product, you’ll turn market and account-level signals and product roadmaps into projections that inform planning and go-to-market decisions. And you’ll build the dashboards and automation that make revenue reporting faster, more reliable, and self-serve.

The Opportunity

Develop, test, and refine driver-based and statistical forecast models for advertiser spend and revenue, backtesting regularly and tracking accuracy against agreed tolerances and the current baseline
Own the weekly and quarterly revenue management cycles, delivering reporting, forecast refreshes, and variance analysis on schedule while triaging ad hoc requests
Explain what changed and why by separating volume, mix, pricing, seasonality, and one-offs, and recommend actions to Finance, Sales, and Product
Analyze revenue levers and pricing performance across advertiser segments and verticals, and bring findings that balance revenue growth with advertiser value
Partner with Finance, Sales, and Product to translate market and account-level signals and product roadmaps into projections, pressure testing assumptions, and aligning teams around one view of the forecast that informs planning and go-to-market decisions
Build dashboards and automation that make revenue reporting faster, more reliable, and self-serve
Document methodology and validate data and logic, including AI-assisted work, so results are accurate, reproducible, and defensible

How Do I Know if the Role is Right For Me?

6+ years in analytics, revenue analytics, FP&A, or strategy, ideally at an ad-tech company, marketplace or other two-sided platform.
Hands-on experience building and validating driver-based and statistical forecast models (time-series, regression), with a habit of backtesting and a willingness to own where a model missed and why
Proficient in SQL (BigQuery or similar) and Python, and fluent in using AI tools to accelerate analysis, with the judgment to review what they produce and catch bad joins, double counts, and silent logic errors
Track record of running recurring, deadline-driven reporting and forecast cycles accurately, while triaging ad hoc requests and documenting assumptions so numbers can be reproduced and defended