Manager, Privacy Engineering

Snap Inc.

. Lead a team building platforms, policy systems, automation, and validation loops for privacy across product and infrastructure development .

Posted 10/26/2026full-timeUnited StatesSeniorLead💰 $251,000 - $377,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in privacy engineering, including the design and implementation of scalable privacy platforms and governance mechanisms. Proficient in leveraging AI tools for privacy validation and ensuring compliance with legal and policy requirements.

Highest-signal resume keywords

Privacy Engineering FluencyTechnical LeadershipAI Tools ProficiencyData Governance ExperiencePlatform Scaling Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Privacy Policy DesignData MinimizationAccess BoundariesRetention and DeletionPrivacy ValidationAI/ML SystemsSecurity AutomationPolicy CodificationAutomated Decision-Support SystemsEngineering Controls

Soft Skills

Strong JudgmentCoaching EngineersBuilding Technical ExcellencePartnership Development

Tools & Technologies

Cloud InfrastructureAI ToolsAutomation FrameworksValidation Frameworks

Industry Keywords

Privacy GovernanceConsumer TechnologyLarge-Scale Technology EnvironmentData HandlingCompliance

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead a team building platforms, policy systems, automation, and validation loops for privacy across product and infrastructure development
Scale privacy by design through AI-assisted review, reusable policy artifacts, and automation
Design and ship scalable services using AI tools and high-velocity engineering workflows while maintaining code correctness, security, and production-ready quality
Build machine-readable privacy policy, governance, and enforcement mechanisms
Partner with product, infrastructure, security, legal, compliance, and data teams
Lead platforms and workflows for governance, validation, retention, deletion, and sensitive data handling
Guide decisions on data use, access, sharing, retention, and AI/ML systems
Build production validation loops for privacy commitments, including code scanning and system-level analysis
Enable product innovation within privacy boundaries, including ads privacy, opt-out enforcement, and privacy-preserving AI agents
Coach engineers, raise engineering quality, and build a culture of technical excellence and partnership

Requirements

What you’ll need

Bachelor of Science in Computer Science, Engineering, Information Systems, or equivalent years of experience in a related technical field
8+ years of post-bachelor’s security/privacy experience, or a Master’s degree in a technical field plus 7+ years of post-graduate security experience, or a PhD in a related technical field plus 4 years of post-graduate security experience
1+ year of technical leadership or engineering management experience
Strong technical leadership and systems thinking
Experience building or scaling platforms, workflows, or control planes in privacy, security, infrastructure, or related domains
Solid privacy engineering fluency, including data minimization, access boundaries, retention and deletion, and privacy validation
Proficiency in, or strong aptitude for, leveraging AI tools and auditing generated output for architectural integrity, performance bottlenecks, and security risks
Ability to learn and apply evolving AI systems and tools
Experience translating legal, policy, or governance requirements into technical requirements and durable system behavior
Strong judgment in reviewing complex systems and making tradeoffs
Familiarity with data governance, identity and access management, cloud infrastructure, ML/AI systems, or security automation
Experience hiring, mentoring, and developing high-performing engineers
Experience leading privacy platform or privacy governance work in a consumer or large-scale technology environment
Experience with policy systems, automation, validation frameworks, AI-assisted workflows, policy codification, automated decision-support systems, and engineering controls
Familiarity with privacy challenges in ads, ML systems, or agentic AI product surfaces

Benefits

Comp & perks

Paid parental leave
Comprehensive medical coverage
Emotional and mental health support programs
Compensation packages including equity in the form of RSUs
Default Together approach with in-office work 4+ days per week