Privacy Engineer, Level 4

About the role

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services. Snap Security teams protect the trust and safety of our global community by securing the systems and data that power Snapchat. We safeguard hundreds of millions of Snapchatters every day, ensuring that every product and service is built on a foundation of security and resilience. Our values guide how we anticipate and mitigate threats, collaborate across Snap, and execute with privacy at the forefront.

What you’ll do

• Help build privacy into ads ranking and targeting systems.
• Partner with engineering, product, legal, security, and data teams to translate privacy requirements into practical, production-ready controls that protect users, support our commitments, and preserve product utility
• Develop and scale privacy-preserving approaches, auditing practices, and technical solutions across Snap’s ads ecosystem.
• Design and implement privacy controls for production systems, considering architecture, scale, performance, reliability, and operational risk.
• Lead privacy reviews, threat modeling, and risk assessments for products, services, data flows, APIs, and technical designs.
• Utilize AI tools and high-velocity engineering workflows to ship scalable services while maintaining rigorous standards for correctness, security, and production quality.
• Support privacy-safe advertising and measurement.
• Evaluate privacy-preserving approaches for machine-learning systems, including leakage and attack risks.
• Help define and evolve privacy standards, practices, tooling, and documentation across Snap.

Knowledge, Skills & Abilities

• Proficiency in, or a strong aptitude for, using AI tools to streamline development while auditing generated output for architectural integrity, performance bottlenecks, and security risks.
• Experience within applied privacy techniques such as differential privacy, anonymization, cryptography, privacy-preserving computation, and privacy attack frameworks.
• Expertise within consent, preference, identity, and tracking technologies, including ATT and opt-out mechanisms; privacy risks in advertising, measurement, machine learning, and embeddings.
• Software engineering fundamentals, including data structures, algorithms, programming, testing, debugging, and code review.
• Ability to conduct privacy reviews and threat modeling, document findings, and drive remediation with partner teams.
• Ability to partner with engineering, product, legal, security, and data teams to reduce risk from design through deployment and remediation.
• Strong communication skills in order to collaborate across functions, and adapt to evolving AI systems and modern engineering practices.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 2+ years of post-bachelor’s privacy, security, software engineering, or related experience; or a master’s degree in a technical field plus 1+ year of post-graduate experience; or a PhD in a relevant technical field.
• Expertise in one or more areas such as privacy engineering, privacy reviews, data governance, privacy-safe advertising or measurement, privacy-preserving machine learning, or security engineering.

Preferred Qualifications

• Demonstrated experience securing or privacy-enabling complex distributed systems and production-scale infrastructure.
• Strong programming and software design skills, including debugging, performance analysis, testing, and automation.
• Experience with privacy threat modeling, leakage or attack assessments, privacy-control validation, or privacy-preserving ML and embeddings.
• Strong intellectual curiosity and motivation to keep up with evolving privacy, security, AI, and engineering practices.

Benefits

Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Pay

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

• Zone A (CA, WA, NYC): The base salary range for this position is $157,000–$235,000 annually.
• Zone B: The base salary range for this position is $149,000–$223,000 annually.
• Zone C: The base salary range for this position is $133,000–$200,000 annually.

This position is eligible for equity in the form of RSUs.