Pinterest is hiring a Staff Software Engineer, Conversion Data Privacy to lead the architecture and technical direction for our conversion data privacy platform. You will own the end-to-end design of privacy-critical pipelines and services for ads reporting and optimization, ensuring safe and compliant use of conversion data.
What You'll Do
- Lead technical strategy and architecture for conversion data privacy across access controls, de-identification, deletion, and privacy rules enforcement.
- Design and evolve core privacy infrastructure including controlled environments, fine-grained authorization, policy enforcement, and a central policy repository.
- Own de-identification pipelines for ads reporting end-to-end, from separating data to applying techniques and generating privacy-preserving datasets.
- Build and improve privacy frameworks and tooling for online and offline workflows to make safe data usage simple and self-service.
- Drive operational excellence by defining SLAs, building robust monitoring and alerting, and leading incident response.
- Partner cross-functionally with ads, data, product, legal, and infrastructure stakeholders to translate requirements into technical designs.
- Mentor and uplevel engineers, lead critical design and code reviews, and establish best practices for privacy-by-design.
What We're Looking For
- BS+ in Computer Science (or related field) or equivalent practical experience.
- 8+ years of professional software engineering experience.
- Focus on large-scale data systems or distributed systems.
- Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL.
- Experience designing secure, reliable systems and APIs.
- Solid grounding in data modeling, access control, and performance optimization.
- Meaningful experience in at least one of: privacy-preserving data systems, ads measurement/attribution, or large-scale analytics/experimentation platforms.
- Proven ability to drive cross-team technical initiatives from design through rollout.
- Strong communication and leadership skills with a track record of mentoring engineers.
Nice to Have
- Experience with modern big data ecosystems is a plus.
Technical Stack
- Java/Scala/Kotlin
- Python
- SQL
- Modern big data ecosystems
Team & Environment
You will be joining the Privacy & Conversion Data team.
Benefits & Compensation
- Compensation range: $177,185—$364,795 USD + equity.
Work Mode
This is a hybrid role open to candidates in San Francisco or remote locations.
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration without regard to race, color, ancestry, national origin, religion, sex, sexual orientation, gender, gender identity, age, marital status, veteran status, disability, medical condition, genetic information, or other protected characteristics.
