Senior Software Engineer, Ads Measurement & Effectiveness

The Ads Measurement & Effectiveness team at TikTok empowers marketers and brands to understand and optimize the true business value of their ad investments across TikTok’s paid channels. Our mission is to provide advertisers with clear, actionable insights through cutting-edge measurement solutions like Brand Lift (BLS), Conversion Lift (CLS), Split Test, Cross-Media Measurement, as well as measurement solutions with 3rd party partners. We build client facing products and scalable infrastructure that support large-scale experimentation, causal inference, and data-driven decision-making. Our work is foundational to TikTok’s advertising ecosystem, driving both strategic insights and revenue growth.

As a Senior Software Engineer on the Ads Measurement team, you’ll work on end-to-end product development and contribute to high-performance systems that measure and maximize ad effectiveness. You’ll collaborate with product managers, data scientists, and platform engineers to solve complex technical challenges that directly impact TikTok's advertisers and end users.

What You'll Own - Design and develop highly scalable backend systems to measure Ads effectiveness. - Own and expand core products like Split Test, CLS, and BLS, enabling advertisers to rigorously test and evaluate campaign performance. - Build and optimize large-scale data pipelines and real-time experimentation frameworks to power critical advertiser insights. - Collaborate cross-functionally with product, infrastructure, and data science teams to translate ideas into measurable impact. - Integrate with third-party measurement partners to enable comprehensive attribution and validation. - Help evolve the underlying tech infrastructure to support privacy compliance, high QPS environments, and multi-region deployment. - Mentor junior engineers to grow and help build a strong engineering team.

Why Join Us? - You'll work on technically deep systems and infrastructure at the intersection of distributed systems and causal inference. - Be part of a team with strong product ownership—you’ll not only build the infrastructure, but also see its impact on advertisers worldwide. - Tackle high-impact challenges like uplift optimization, bias correction, cross-platform attribution, and real-time performance optimization. - Join a fast-growing, business-critical team with abundant career growth opportunities, both technically and organizationally.

Minimum Qualifications - Software development experience in backend or data-intensive systems. - Proficient in at least one of the following: Python, Go, Java, C/C++. - Strong understanding of system design, algorithms, and data structures. - Familiar with large-scale backend architecture or data infrastructure. - Curiosity about new technologies and a self-starter mindset.

Preferred Qualifications： - Domain knowledge in Ads tech, experimentation methodology. - Understanding of advertiser needs and the business value of digital marketing.