Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Responsibilities
- Define and drive the multi-quarter technical strategy and architecture for high-throughput, low-latency advertising serving stacks and petabyte-scale data and measurement pipelines.
- Design, develop, test, deploy, and enhance large-scale back-end software solutions, leveraging distributed data processing and storage systems.
- Lead cross-functional technical initiatives across privacy-preserving measurement, attribution, and machine learning optimization to improve advertiser Return on Investment (ROI).
- Influence, mentor, and coach a distributed team of engineers, elevating code health, engineering velocity, and Artificial Intelligence (AI)-accelerated development workflows.
- Facilitate alignment and clarity across Engineering and Product Management partners across Singapore and global offices on technical goals, outcomes, and timelines.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++, Java, Python, or Go.
- 5 years of experience testing, and launching software products.
- 3 years of experience with software design and architecture.
- Experience designing and building large-scale back-end distributed systems or data processing pipelines.
- Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience with high-throughput real-time serving systems, large-scale data pipelines, privacy-preserving measurement, or machine learning infrastructure in digital advertising.
- Experience integrating generative AI tools or LLM interfaces into engineering or product workflows.