Base Salary
$123k - $172k/yr
Responsibilities
- Build and deploy agent-based workflows for 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 safeguards with less manual effort.
- Implement and improve authorization, data scoping, retention and deletion, consent, and responsible data-access controls.
- Integrate privacy tooling with CI/CD, code review, data catalogs, ticketing platforms, and internal services.
- Improve logs and telemetry through classification, minimization, and redaction practices.
- Develop scalable solutions that improve the speed, consistency, and auditability of manual and semi-automated privacy processes.
- Write production-quality code, tests, and documentation while maintaining deployed workflows through monitoring, evaluation, error handling, and iteration.
Requirements
- Experience building and shipping production software in a SaaS, cloud, or similarly complex engineering environment.
- Proficiency in at least one backend language such as Python, TypeScript, or Go, with strong testing, debugging, version-control, and maintainable software-design fundamentals.
- 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 own well-defined projects or workstreams from implementation through delivery and collaborate with Security, Engineering, Product, Data, and Legal and Privacy partners.
- Preferred experience with GDPR, CCPA, CPRA, 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.
Benefits
- Remote opportunity within Canada and the US, with a remote-first work environment and travel for in-person engagement such as offsites, team meetings, and industry events.
- Health, dental, and retirement benefits, including a 401(k) for US roles and RRSP for Canada roles.
- Generous paid time off, parental leave top-up programs, paid volunteer days, retirement matching, RSUs for most employees, a free 1Password account, and peer recognition through Bonusly.
- Employment is contingent on a background check, and accommodations are available during the hiring process.
About 1Password
Trusted by more than 180,000 businesses to protect their data, 1Password gives you complete control over passwords and other sensitive business information. As an integral layer of the Identity and Access Management (IAM) stack, 1Password protects all employee accounts – even those you aren’t aware of. Give employees secure access to any app or service and safely share everything you need to work together – including logins, documents, credit cards, and more – while keeping everything else private. 1Password is easy to deploy and integrates with Azure AD, Okta, OneLogin, and Slack, so you can automatically provision employees using the systems you already trust. It’s simple to manage and fits seamlessly into your team’s workflow, so you can secure your business without compromising productivity.