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Privacy Engineer

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1Password

501 - 1000 employees

Founded 2009

🔒 Cybersecurity

☁️ SaaS

⚡ Productivity

💰 $620M Series C on 2022-01

Cybersecurity • SaaS • Productivity

1Password is a leading password management and cybersecurity company that offers solutions for both individual and business customers to securely store and manage passwords, secrets, and sensitive information. With features like extended access management (XAM), 1Password empowers users to manage access to every application and web account, ensuring security across all devices with alerts for possible breaches. Trusted by over 150,000 businesses, 1Password provides comprehensive security solutions that enhance productivity by enabling easy and secure sharing of credentials and managing permissions, while maintaining high visibility and control. Their services cater to enterprises and families, providing protection from bad actors in today's SaaS-centric hybrid work environment.

📋 Description

• Build and deploy agent-based workflows for privacy engineering processes such as privacy review intake, data subject rights requests, data inventory updates, and telemetry classification • Build AI-assisted tooling to help 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 to 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 • Collaborate with Engineering, Product, Data, and Legal and Privacy partners

🎯 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 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 well-defined projects or workstreams from implementation through delivery • Ability to 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 • Must already be legally authorized to work in the countries listed in the job posting; no work authorization, relocation assistance, or sponsorship/transferring of a visa is offered • Successful applicants must complete a background check

🏖️ Benefits

• Immediate participation in 1Password's benefits program, including health and dental benefits • 401(k) for USA-based roles • RRSP for Canada-based roles • Generous paid time off (PTO) • Equity grant / RSU program for most employees • Incentive programs where applicable • Maternity and parental leave top-up programs • Retirement matching program • Free 1Password account • Paid volunteer days • Peer-to-peer recognition through Bonusly • Remote-first work environment • Accommodation available upon request during recruitment • In-person engagement, including annual department-wide offsites, team meetings, and customer/industry events

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