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Senior Privacy Engineer

Asana
Hybrid - San Francisco, CA (or fully remote depending on state), 3 days/week in-officeUpdated 26d ago
Base salary
$189k–$267k
Published base salary range
Location
Hybrid - San Francisco, CA (or fully remote depending on state), 3 days/week in-office
Remote eligibility
Employment
Full-time
Senior
Role family
Security
B2B SaaS
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About the job

About the role

Asana's Legal team is seeking a Senior Privacy Engineer to join as a founding member of the Privacy Engineering team. This role reports to Asana's Head of Global Privacy, Data Protection, and Compliance and bridges legal, regulatory, and technical dimensions of privacy across the company.

What you'll achieve

  • Lead technical privacy-by-design reviews for new features and major architectural changes, embedding privacy controls early in the development lifecycle.
  • Drive compliance with global privacy regulations (such as GDPR and CCPA) by translating legal requirements into engineering standards, frameworks, and tooling.
  • Evaluate and mitigate privacy risks in AI/ML systems, including training data pipelines and model outputs.
  • Build and operate systems for data rights and privacy-enhancing technologies (PETs), such as data minimization and de-identification frameworks.
  • Conduct privacy impact assessments and threat modeling for high-risk data processing activities.
  • Advocate for privacy-preserving solutions and serve as a trusted technical advisor.
  • Partner cross-functionally to ensure privacy policies and notices reflect underlying technology.
  • Develop customer-facing trust documentation on privacy and support privacy incident response.
  • Design and implement privacy-preserving analytics and measurement systems.

About you

  • 6+ years of software engineering experience, with 3+ years focused on privacy or data protection.
  • Deep understanding of GDPR, CCPA, and emerging global privacy frameworks.
  • Experience building technical controls for data governance, including classification, lineage, retention, and deletion at scale.
  • Familiarity with privacy risks in ML systems, such as training data sourcing, model memorization, and inference privacy.
  • Strong foundation in privacy-by-design principles.
  • Ability to translate complex regulatory and legal requirements into engineering specifications.
  • Experience with cryptographic techniques, anonymization, and de-identification frameworks.
  • Strong communication and collaboration skills.

Compensation & benefits

Base salary ranges by US geographic pay zone: Zone A: $235,000 - $267,000; Zone B: $211,000 - $240,000; Zone C: $189,000 - $216,000. Additional compensation may include equity, sales incentive pay (for most sales roles), and benefits. Benefits include mental health, wellness & fitness benefits, career coaching & support, inclusive family building benefits, long-term savings or retirement plans, and in-office culinary options.

Location

This role can be fully remote depending on US state, or based in San Francisco office with an office-centric hybrid schedule (in-office days: Monday, Tuesday, Thursday; work from home on Wednesdays; Fridays depend on team).

Skills & tags

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