Privacy Engineer

Responsibilities

• Build and deploy agent-based workflows for privacy engineering processes, including privacy review intake, data subject rights requests, data inventory updates, and telemetry classification.
• Build AI-assisted tooling that helps engineering teams identify privacy risks earlier and apply appropriate safeguards.
• Implement and improve privacy controls for authorization, data scoping, retention and deletion, consent signals, and responsible data access.
• Integrate privacy tooling with CI/CD, code review, data catalogs, ticketing platforms, and internal services.
• Improve logs and telemetry through classification, minimization, and redaction.
• Develop scalable solutions that improve the speed, consistency, and auditability of manual and semi-automated privacy processes.
• Write production-quality code, tests, and documentation.
• Maintain deployed workflows through monitoring, evaluation, error handling, and ongoing iteration.

Requirements

• Experience building and shipping production software in a SaaS, cloud, or similarly complex engineering environment.
• Proficiency in at least one backend programming language, such as Python, TypeScript, or Go.
• Strong fundamentals in testing, debugging, version control, and maintainable software design.
• Experience building with LLM systems or comparable AI frameworks, including agents, tool-use pipelines, or multi-step orchestration workflows.
• Experience integrating software with external systems through APIs, databases, ticketing systems, CI/CD pipelines, or data platforms.
• Practical experience with privacy or data-handling concepts, including data minimization, access controls, retention and deletion, consent, or privacy-conscious telemetry.
• Ability to translate established privacy requirements into concrete engineering work.
• Ability to own projects or workstreams from implementation through delivery and collaborate with Security, Engineering, Product, Data, and Legal and Privacy partners.

Nice-to-haves

• Experience with GDPR, CCPA, or CPRA.
• Experience with data subject rights workflows, data inventories, third-party integrations, threat modeling, privacy reviews, prompt design, LLM output validation, reliability patterns, or privacy safeguards for AI-assisted features.

Compensation and Benefits

• USA-based roles: annual base salary of $123,000 USD–$172,000 USD, plus benefits including health, dental, 401(k), paid time off, equity, and applicable incentive programs.
• Canada-based roles: annual base salary of $111,000 CAD–$155,000 CAD, plus benefits including health, dental, RRSP, paid time off, equity, and applicable incentive programs.