Moloco Tech Stack

AI-powered performance advertising for apps, commerce, and streaming

Advertising Services Menlo Park, California 501–1,000 employees Founded 2013 Privately Held

Moloco operates three distinct ad-tech products—Moloco Ads (mobile user acquisition), Commerce Media (retail/marketplace monetization), and Streaming Monetization—all backed by machine learning. The engineering-heavy hiring mix (66 engineers, with 31 data roles) reflects an ML-first organization: the stack is GCP-native (BigQuery, Bigtable, Dataflow, TensorFlow) and the active projects emphasize campaign optimization, data pipelines for model training, and experiment frameworks. Pain points cluster around scaling systems, bidding performance, and SDK integration quality—typical constraints for a platform balancing real-time inference, traffic growth, and publisher/advertiser onboarding.

Tech Stack 56 technologies

Core StackAWS TensorFlow BigQuery Python Java Go JavaScript Redux Angular React Vue Looker Salesforce Kotlin C# C++ Apache Spark Kubernetes Apache Beam Dataflow Bigtable GCP CSS HTML RxJS Moloco Ads Moloco Commerce Media DSP OpenRTB Android SDK+26 more

AdoptingMoloco Commerce Media Moloco Ads

What Moloco Is Building

◆Challenges

Improving campaign performance monitoring
Scaling systems
Supporting increasing traffic and asset complexity
Debugging production issues
Optimizing bidding system
Performance improvement and cost efficiency
Scalability and reliability of sdk integration
Scaling sdk integration quality
Technical issues during sdk integration
Expanding smb publisher base

▲Active Projects

Machine learning advertising platform backend development
Build strategic sourcing organization
Campaign optimization
Data pipelines for model training and serving
Regional strategy for commerce and retail platform partnerships
Platform-level integration design
Experiment design framework
Conduct experiments on state-of-the-art machine learning models using tensorflow for large-scale real-world problems
Supply quality & invalid traffic (ivt) platform roadmap
System health evaluation

Hiring Activity

Steady190 roles · 55 in 30d

Department

Engineering

Data

Sales

Product

Marketing

Ops

Finance

Seniority

Senior

Director

Manager

Mid

Staff

Intern

Lead

Principal

Notable leadership hires: Marketing Director, Technical Lead, Growth Director, Director of Product Management, Business Director

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About Moloco

Moloco builds machine learning platforms for three verticals: app advertisers seeking user acquisition, commerce platforms and retailers building their own ad networks, and streaming services monetizing through ads. Founded in 2013 by machine learning engineers, the company operates across eight countries (US, UK, Germany, South Korea, China, India, Japan, Singapore). The platform combines demand-side capabilities with first-party data activation. At 501–1,000 employees, Moloco runs sales-and-engineering org with active product and data teams, currently hiring across engineering, data, product, and sales functions.

HeadquartersMenlo Park, California

Company Size501–1,000 employees

Founded2013

Hiring MarketsSouth Korea, India, China, Japan, United States, France, Singapore, United Kingdom

Frequently Asked Questions

What tech stack does Moloco use?

Moloco's stack is GCP-native: BigQuery, Bigtable, Dataflow, and TensorFlow underpin ML model training and serving. Backend services run on Python, Java, and Go. Frontend uses React, Angular, Vue, and Redux. Infrastructure runs on Kubernetes and AWS.

Where is Moloco headquartered?

Moloco is headquartered in Menlo Park, California and operates offices in the US, UK, Germany, South Korea, China, India, Japan, and Singapore. Current hiring spans all eight countries.