Drimva

Databricks

Staff Technical Program Manager- Security

$222K–$306K

Mountain View, California +2 · Staff · Full-time · Posted Oct 2, 2026

Location
Mountain View, California
San Francisco, California
San Francisco, California
Experience
8+ years.
Education
Bachelor’s degree in Computer Science, Computer Engineering, or equivalent technical experience.

About the job

Leads cross-functional security engineering programs to deliver scalable systems for identity integrity, data privacy, access control, and platform abuse prevention.

What you'll do

  • Own security program strategy and roadmap, and drive initiatives across identity, governance, platform security, machine learning, and trust engineering.
  • Coordinate complex, multi-team security initiatives from planning through delivery, resolving dependencies, risks, and roadblocks.
  • Define security metrics and report program progress, risks, and impact to technical and executive audiences.

What they ask for

  • Bachelor’s degree in Computer Science, Computer Engineering, or equivalent technical experience.
  • 8+ years of progressive experience in technical program management, engineering program management, security program management, or an equivalent technical leadership role.
  • Demonstrated ability to translate security, privacy, identity access, and trust engineering objectives into technical strategy, execution plans, and measurable outcomes.
  • Experience using AI-enabled tools to accelerate program strategy, technical problem-solving, analysis, and automation.

Nice to have

  • Experience in hyperscale cloud environments such as AWS, Azure, or GCP, or complex distributed data-processing environments.
  • Prior hands-on software, systems, or security engineering experience before transitioning to Technical Program Management.

Pay

$222,500 — $305,900 USD (base salary)

Tools

OAuth 2.0, OIDC, AWS, Azure, GCP, IAM, PKI, Cryptography

AI focus

Uses AI-enabled tools to accelerate program strategy, technical problem-solving, analysis, and automation; the role also partners with Machine Learning teams on anomaly detection and abuse prevention systems.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)