The role
From TikTok's own posting.
Our Ads Measurement Signal team is missioned to develop our advertiser-facing product solutions that ensures successful signal lifecycle and build our signal infrastructure that handles large volume of signals across diverse channels (web, app, offline, CRM, etc). Under the evolving privacy preserving environment, the team will be responsible for exploring and implementing cutting-edge measurement technologies, to protect user privacy and at the same time, providing high value to advertisers. As a Software Engineer on the Ads Measurement Signal team, you will play a key role on working with cross-functional teams to continuously improve comprehensive measurement and influence signal utilization in different ads products.
Key Responsibilities:
- Build various products to handle signal integration, management and insights through both building in-house TikTok cutting edge solution and dealing with many third-party data partners integrations.
- Design, build and maintain scalable and future-proof tech foundations to manage data collection and data quality.
- Work with cross-functional teams (inc. product, data scientist, UX, compliance) to continuously improve comprehensive measurement.
- Lead and manage development of products and processes to respond to urgent business needs.
- Identify, explore and implement cutting-edge measurement technologies.
Minimum Qualification(s):
- BS/MS Degree in Computer Science, Computer Engineering or relevant technical field, with 2+ years of working experience.
- Strong knowledge of data structures and algorithms, proficient in at least one coding language, including but not limited to Go, JavaScript, Java, C++.
- Excellent communication and teamwork skills and strong ownership.
- Curiosity towards new technologies and solutions, and outstanding ability to analyze and solve problems.
Preferred Qualification(s):
- 2+ years working experience in ad domain.
- Experience with measurement technologies, such as Web/App tracking, SKAN, PCM, MMP, Privacy Sandbox. Specific production practices are preferred.