# Privacy Engineer

**Company:** [1Password](https://hotfix.jobs/companies/1password)
**Location:** Remote
**Role:** Backend Engineering
**Salary:** $123k – $172k/yr
**Skills:** Python, TypeScript, Go, Llm Systems, AI Agents, APIs, Databases, CI/CD, Data Catalogs, Ticketing Systems, Data Minimization, Access Controls, GDPR, CCPA, Cpra
**Posted:** 2026-08-11

> Builds production software, AI-assisted workflows, and technical controls that operationalize privacy across cloud-based products. The role requires backend programming, LLM systems, integrations, and practical data-protection experience while partnering across Security, Engineering, Product, Data, and Legal.

## Job Description

## 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.

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