Asks for

The ad says“Solid privacy engineering fluency, including data minimization, access boundaries, retention and deletion, and privacy validation”
The ad says“Experience with AI-assisted workflows, policy codification, or automated decision-support systems in privacy, security, or trust and safety”
The ad says“Familiarity with areas such as data governance, identity and access management, cloud infrastructure, ML/AI systems, or security automation”
The ad says“Familiarity with areas such as data governance, identity and access management, cloud infrastructure, ML/AI systems, or security automation”
The ad says“Solid privacy engineering fluency, including data minimization, access boundaries, retention and deletion, and privacy validation”
The ad says“Familiarity with areas such as data governance, identity and access management, cloud infrastructure, ML/AI systems, or security automation”
The ad says“Familiarity with areas such as data governance, identity and access management, cloud infrastructure, ML/AI systems, or security automation”
The ad says“Experience with AI-assisted workflows, policy codification, or automated decision-support systems in privacy, security, or trust and safety”
The ad says“Solid privacy engineering fluency, including data minimization, access boundaries, retention and deletion, and privacy validation”
The ad says“Solid privacy engineering fluency, including data minimization, access boundaries, retention and deletion, and privacy validation”
The ad says“Solid privacy engineering fluency, including data minimization, access boundaries, retention and deletion, and privacy validation”
The ad says“Familiarity with areas such as data governance, identity and access management, cloud infrastructure, ML/AI systems, or security automation”
The ad says“Strong technical leadership and systems thinking, with the ability to set strategy, drive execution, and influence across teams”
The ad says“Strong technical leadership and systems thinking, with the ability to set strategy, drive execution, and influence across teams”

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 everything we do - from how we anticipate and mitigate threats to how we collaborate across Snap. We move fast, with precision, and always execute with privacy at the forefront
We’re looking for a Privacy Engineering Manager to join the Privacy Engineering organization at Snap!
Lead a team building the platforms, policy systems, automation, and validation loops that make privacy scalable across product and infrastructure development
Scale privacy by design through AI-assisted review, reusable policy artifacts, and automation
Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code
Build machine-readable privacy policy, governance, and enforcement mechanisms for engineers and platforms
Partner across product, infrastructure, security, legal, compliance, and data to deliver practical privacy solutions
Lead platforms and workflows that improve governance, validation, retention, deletion, and sensitive data handling
Guide decisions on data use, access, sharing, retention, and AI/ML systems across privacy, product, and business tradeoffs
Build validation loops for privacy commitments in production, including code scanning and system-level analysis
Enable product innovation within strong privacy boundaries, including ads privacy, opt-out enforcement, and privacy-preserving AI agents
Coach engineers, raise the quality bar, and build a strong culture of technical excellence and partnership

Benefits

Up to 28 weeks of parental leave and return-to-work program
Adoption, surrogacy, infertility, and fertility preservation benefits
Backup child care coverage, center-based care support, & caregiver assistance
Dependent Daycare Flexible Spending Account
Services to support your path to parenthood & beyond - fertility support & family planning via Carrot, SNOO, Hinge Health
Short-term disability, long-term disability, basic life insurance, and AD&D insurance
Lactation rooms (based on office location) and breastmilk shipping coverage
For Snap, employees taking care of loved ones with complex, chronic, or ongoing care needs (i.e. parent with Dementia, spouse with Cancer, child with Autism), your family can save time, money, & stress with Wellthy
Comprehensive medical coverage, including PPO, HDHP with HSA, and HMO options
Dental coverage, including orthodontia benefits
Vision coverage, including frame and contact allowance and LASIK benefits
Free membership to One Medical for primary and urgent healthcare services
Business Travel Insurance
Gym perks and discounts
Team fitness classes and races
Sports leagues
Cooking and nutritional workshops
Well-being reimbursement
Unlimited access to virtual physical therapy with Anthem
15 sessions per year of mental health for you + dependents through Lyra
Generous time off and leave programs. In the US, this includes the following:
Up to 3 weeks (120 hours) of vacation time and 1 floating holiday for non-exempt team members
15 sick and safe days per year
12 paid holidays per year
Meditation and yoga classes
Speaker series, classes, and subscriptions to educational programs
Social gatherings, team outings, and volunteering programs
Snap Inc. provides a 401(k) plan that allows you to save on a pre-tax, Roth, and after-tax basis for your retirement (yes, we even have the Mega backdoor option!) Snap will also match 100% up to 3% of your contribution and then 50% on your 4th and 5th%
Flexible Spending Accounts for healthcare, daycare and commuter
Health Savings Account with employer contributions
Rocket Lawyer memberships
Financial education programs
Snap exclusive discounts and perks
Compensation packages that let you share in Snap’s long-term success!

Preferred experience

Familiarity with areas such as data governance, identity and access management, cloud infrastructure, ML/AI systems, or security automation
Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices
Strong technical leadership and systems thinking, with the ability to set strategy, drive execution, and influence across teams
Strong judgment in reviewing complex systems and making tradeoffs across privacy, product velocity, reliability, and business impact
Experience hiring, mentoring, and developing high-performing engineers and building strong cross-functional partnerships
Solid privacy engineering fluency, including data minimization, access boundaries, retention and deletion, and privacy validation
Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks
Experience building or scaling platforms, workflows, or control planes in privacy, security, infrastructure, or related domains
Experience translating legal, policy, or governance requirements into technical requirements and durable system behavior
Bachelor of Science in Computer Science, Engineering, Information Systems, or equivalent years of experience in a related technical field
1 + year(s) of technical leadership or engineering management experience
8+ years of post- bachelor’s security / privacy experience; or a Master’s degree in a technical field + 7+ years of post-grad security experience; or a PhD in a related technical field + 4 years of post-grad security experience
Experience leading privacy platform, or privacy governance work in a consumer or large-scale technology environment
Experience with AI-assisted workflows, policy codification, or automated decision-support systems in privacy, security, or trust and safety
Experience building policy systems, automation, or validation frameworks that reduce manual review and improve consistency
Experience partnering with legal, compliance, audit, or risk teams to operationalize requirements through engineering controls
Familiarity with privacy challenges in ads, ML systems, or agentic AI product surfaces
Experience improving engineering processes and increasing team leverage through reusable mechanisms rather than manual review alone