Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C , Java, Python, Kotlin or Go.
- 5 years of experience testing, and launching software products.
- Experience in working with advertising platforms.
- Experience with data analytics.
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 working in C .
- Experience in system design.
About the jobAs a valued part of the App Ads Privacy Team, you will build the next generation of identity resolution and attribution systems. We are adapting to major industry shifts by designing privacy focused infrastructure that powers accurate measurement and boosts app performance. You will help bridge the gap between user trust and data utility, ensuring advertisers can optimize their return on investment while strictly respecting user privacy boundaries and global regulations.
US: $207000 - $301000 (USD) 20% bonus target bonus equity benefits
Responsibilities - Partner with Product Managers and external stakeholders to translate complex measurement and performance gaps into technical solutions that recover signal loss and improve campaign performance.
- Develop and scale privacy-preserving measurement features that ensure compliance with global regulations and platform changes while maintaining data utility for modeling.
- Lead technical alignments across product and infrastructure teams to ensure that high-fidelity measurement signals are integrated into advanced bidding and reporting systems.
- Drive the long-term health and efficiency of high-traffic data pipelines by systematically identifying and resolving monitoring issues and establishing operational best practices.
- Provide technical guidance and mentorship to engineers, ensuring the team's designs are scalable and forward-looking.
