Staff Technical Program Manager- Security
Bellevue · Seattle · San Francisco · USD 189,800-260,900 / year · 8+ years experience · Onsite · Posted Sep 22, 2026
At a glance
- Experience
- 8+ years experience
- Workplace
- Onsite
- Location
- Bellevue · Seattle · San Francisco
- Salary
- USD 189,800-260,900 / year
About Databricks
- At Databricks, we are passionate about enabling data teams to solve the world's toughest problems; from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
About the role
- As a Staff Technical Program Manager (TPM) for Trust & Safety Engineering, you will drive technical execution across infrastructure initiatives that protect platform integrity, user identity, and data privacy at scale.
- You will work directly with Security Engineering, Identity Infrastructure, Machine Learning, and Core Platform teams to design, build, and deploy systems for authentication, access control, and anomaly detection.
- Working embedded within engineering groups, you will translate identity protocols, privacy-by-design principles, and threat mitigation models into clear technical specifications, system dependencies, and actionable execution roadmaps.
Responsibilities
- Define, articulate, and own the security program strategy and roadmap, ensuring alignment with Databricks’ business and product goals.
- Drive initiatives across Identity Infrastructure, Data Governance, Platform Security, Machine Learning, and Trust Engineering.
- Oversee execution of complex security engineering multi-half initiatives (AuthN/AuthZ/Secret/PKI/Cryptography,etc), demonstrating ownership from strategy through outcomes.
- Leverage deep technical knowledge of cloud, distributed systems, and security engineering to influence design decisions, proactively identify risks, and remove roadblocks.
- Define and track security metrics (KPIs, OKRs), using data to drive decisions, communicate program health, and measure business impact.
- Present program status, risks, and progress to executive and technical audiences, building trust and ensuring transparency around security posture.
Requirements
- 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, with data privacy, identity access, and trust engineering requirements/objectives into technical strategy, architecture decisions, execution plans, and measurable outcomes.
- Demonstrated ability to resolve conflicting priorities and resource constraints across cross-functional teams without direct authority, establish organization-wide engineering processes, and deliver complex, multi-team roadmaps.
- Strong written and verbal communication skills, with the ability to present complex technical strategies to executive engineering leaders.
- Experience using AI-enabled tools to accelerate program strategy, technical problem-solving, analysis, and automation.
- Ability to work onsite three days per week in Bellevue, Seattle, San Francisco, or Mountain View.
Preferred qualifications
- Experience operating in hyperscale cloud environments such as AWS, Azure, or GCP, or in complex distributed data-processing environments.
- Prior hands-on experience as a software, systems, or security engineer before transitioning to Technical Program Management.
- Familiarity with unified data governance architectures, distributed-systems security, and or security controls supporting AI and machine-learning infrastructure.
Benefits
- eligibility for annual performance bonus
- equity
- comprehensive benefits and perks
Workplace
- Ability to work onsite three days per week in Bellevue, Seattle, San Francisco, or Mountain View.
Skills
- IAM
- OAuth 2.0
- OIDC
- AuthN
- AuthZ
- Secret
- PKI
- Cryptography
- AWS
- Azure
- GCP
- AI
Show all 13 skills
- Machine Learning