Senior Privacy Engineer

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth.

About 1Password

At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.

If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.

We are excited to welcome a Senior Privacy Engineer to join 1Password. Our mission is to build products people trust—and privacy is a core part of that trust. In this role, you’ll bring strong data engineering / big data systems experience to help us build and operate privacy-preserving data practices at scale, especially across data ingestion, governance, and pipeline processing in a modern SaaS environment.

As part of the Privacy Engineering group (within GRC and Security, and in close partnership with Engineering, Product, Data, and Legal/Privacy), you’ll help shape how we collect, process, store, access, and delete data across services, telemetry, analytics, support tooling, third-party integrations, and emerging AI/ML solutions—translating privacy requirements into durable engineering controls.

This is a remote opportunity within Canada and the US.

What we're looking for:

• 5+ years of experience in software engineering, data engineering, or data analytics at SaaS companies, with a strong emphasis on data ingestion, governance, and pipeline processing

• Demonstrated expertise building and operating production systems at meaningful scale, including debugging, reliability, and operational ownership

• Experience implementing data access control and data obfuscation layers on top of data lakes or large analytics environments, including policy-based access, row/column-level controls, tokenization/masking, and privacy-aware query patterns

• Experience implementing these controls via commodity governance/authorization offerings (e.g., Databricks Unity Catalog, Okera, Privacera, or similar technologies), including integration into real-world data workflows and enforcement paths

• Experience performing analytics and investigations using Python and SQL (e.g., validating data minimization, measuring collection changes, auditing datasets, and supporting privacy reviews)

• Experience building or supporting privacy-safe controls, infrastructure, and analysis for AI/ML solutions (e.g., data provenance and curation, access controls around training/evaluation datasets, inference telemetry hygiene, retention/deletion alignment, and practical mitigations for leakage risk)

• Familiarity with DLP-style controls and privacy-aware analytics patterns

• Proficiency in one or more backend languages (e.g., Go, Rust, Java, TypeScript) and a track record of delivering production-quality code

• Practical privacy engineering experience implementing controls such as minimization, access controls, encryption, retention/deletion, and privacy-safe analytics/telemetry

• Ability to translate privacy requirements (GDPR / CCPA / CPRA concepts) into engineering work without relying on “paper compliance”

• Strong cross-functional communication skills and comfort partnering with Product, Legal/Privacy, Security, Data, and Engineering teams

Bonus points for:

• Experience building data governance platforms (classification, catalogs, automated retention/deletion, policy enforcement)

• Experience with distributed systems and their operational tradeoffs (availability, performance, observability, rollout safety)

• Security company experience or familiarity with threat modeling and secure development practices

• Familiarity with compliance/security frameworks and audits (e.g., ISO 27001, ISO 27701, SOC 2) in ways that translate into real engineering controls

What you can expect:

• Work on privacy engineering problems where data scale and data systems matter: pipelines, telemetry/analytics, and data stores that support business needs while maintaining strong privacy protections

• Build practical controls for data access governance and obfuscation in large datasets (policy enforcement, row/column controls, masking/tokenization, privacy-aware query patterns)

• Improve retention/deletion and logging/telemetry hygiene so privacy remains strong as systems evolve

• Help enable privacy-safe AI/ML use by implementing controls, infrastructure, and analysis that reduce data exposure and support responsible product development

• Collaborate across teams to make privacy the default through templates, guardrails, and automation
  

Build privacy-by-design into data systems and pipelines

• Partner with Product and Legal/Privacy to translate requirements (e.g., DPIAs/PIAs, consent, data subject rights) into concrete technical controls and deliverable plans

• Influence how we design and evolve data ingestion and processing pipelines, ensuring privacy-safe collection and downstream use

• Help teams implement privacy-safe patterns for data flows, access boundaries, and storage decisions
  

Implement scalable access controls and data protection in large datasets

• Design and implement policy-based access controls for analytics and data platforms, including row/column-level controls where appropriate

• Build or improve data obfuscation layers (e.g., tokenization, masking, pseudonymization) and define privacy-aware query patterns that reduce exposure while preserving utility

• Partner with data/platform teams to ensure controls are reliable, testable, and operationally supported
  

Enable privacy-safe AI/ML solutions

• Partner with product and engineering teams to design privacy-safe data flows for AI/ML use cases, including training, evaluation, and inference
  

• Implement guardrails that support safe data use in AI/ML systems (e.g., minimization, access controls, dataset curation, logging/telemetry hygiene, retention/deletion alignment)

• Contribute to reviews and analysis that assess privacy risk in AI/ML solutions (e.g., data provenance, leakage risks, and appropriate protections for sensitive data)
  

Improve lifecycle controls and telemetry hygiene

• Strengthen retention and deletion across production databases, logs, analytics, backups, and relevant third-party systems

• Improve observability and telemetry practices by tightening protections and ensuring collection remains consent-aware
  

Lead through hands-on execution and collaboration

• Provide technical leadership through code reviews, design reviews, and pragmatic guidance across multiple teams

• Contribute to privacy tooling, service templates, and CI/CD automation that prevent regressions and make safe choices easy

USA-based roles only: The annual base salary for this role is between $153,000 USD and $214,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.

Canada-based roles only: The annual base salary for this role is between $144,000 CAD and $202,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.

At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.

This posting is for an existing vacancy.

Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.

You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.

We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged at 1Password—it's an essential part of how we will be successful at 1Password.

Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.

What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:

Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy

Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account

Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.

You belong here.

1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.

Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.

Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.

Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.

1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form. For additional information see our Candidate Privacy Notice.