Drimva

HP IQ

Senior Privacy Engineer

$150K–$240K

San Francisco, CA +1 · Senior · Full-time · Posted Oct 7, 2026

Location
San Francisco, CA
San Francisco, California, United States
Experience
5+ years in a related technical role; 3+ years leading cross-functional privacy initiatives.
Education
Bachelor's degree in Computer Science, Software Engineering, Information Security, Cybersecurity, Data Science, or related field.

About the job

Leads privacy engineering strategy and implements privacy controls across software, cloud, AI, and connected-device products and platforms.

What you'll do

  • Implement privacy-by-design and privacy-by-default across the software development lifecycle; review architectures and define technical privacy controls.
  • Conduct privacy impact, data protection impact, and privacy risk assessments; support audits, inspections, and customer reviews.
  • Partner with Product Security, Legal, Compliance, and Product Management to translate privacy regulations into technical controls and manage privacy risks.

What they ask for

  • Bachelor's degree in a related field.
  • 5+ years of experience in privacy engineering, security engineering, software development, or related technical roles.
  • 3+ years leading cross-functional privacy initiatives.
  • Experience presenting privacy risk and compliance posture to executive leadership; conducting PIAs, DPIAs, or privacy risk assessments; and implementing privacy controls in cloud environments (Azure/AWS).

Nice to have

  • Knowledge of AI governance and responsible AI frameworks; experience with privacy management tools such as OneTrust.
  • Understanding of secure software development and DevSecOps practices; experience with ISO 27001, NIST Cybersecurity Framework, or SOC 2.

Pay

USD 150,000- USD 240,000 base salary

Tools

GDPR, CCPA/CPRA, ISO 27701, NIST Privacy Framework, Azure, AWS, OneTrust, SOC 2

AI focus

The role establishes and oversees privacy controls and risk management for AI systems; AI governance and responsible AI knowledge is preferred.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)