Pangle is the ad network of TikTok for Business, helping mobile developers accelerate growth, deliver engaging ad experiences, and maximize revenue by accessing TikTok's global advertising demand. Operating in more than 36 countries and regions, Pangle has built a strong reputation for driving measurable results for app partners worldwide.
The Pangle SIA (Signal, Identity, Attribution) team builds the foundational infrastructure that powers measurement, targeting, and optimization across TikTok for Business's global ads network ecosystem. As part of Pangle, TikTok’s performance advertising network, we develop large-scale systems that enable advertisers and partners to better understand user engagement, campaign effectiveness, and cross-platform ad performance in a privacy-aware and reliable way.
Our team focuses on building highly scalable real-time and offline infrastructure for signal processing, identity resolution, attribution, conversion measurement, and ads data intelligence. We work on distributed systems and machine learning infrastructure that support critical advertising capabilities including ads delivery optimization, attribution accuracy, event processing, and performance analytics. Our platforms serve as core building blocks for advertisers, measurement partners, and internal ML systems across global business products.
As part of the team, you will:
- Design and build large-scale backend services for signal ingestion, identity matching, attribution, and ads measurement that directly power ads delivery and business growth.
- Develop scalable real-time and batch data pipelines that maximize the value of first-party and third-party signals across global advertising traffic.
- Build foundational data and ML infrastructure that supports audience systems, ads ranking, conversion optimization, and performance measurement.
- Apply both strong backend engineering and data-driven thinking to improve signal quality, system reliability, model effectiveness, and business outcomes.
- Leverage AI agents and LLM-powered automation to improve signal processing, data operations, optimization workflows, and engineering productivity across the Pangle ecosystem.
