Staff Technical Program Manager Security
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own security program strategy and roadmaps, coordinate complex engineering initiatives, resolve dependencies and risks, and report progress to executive and technical audiences. You will translate identity, privacy, and threat-mitigation requirements into technical specifications, execution plans, metrics, and scalable systems.
Requirements
- 8+ years of experience in technical program management, engineering program management, security program management, or technical leadership
- Experience leading large-scale security programs in cloud-native or SaaS environments
- Technical knowledge of IAM, OAuth 2.0, OIDC, data privacy controls, anomaly detection, abuse prevention, and risk assessment
- Ability to translate security, privacy, identity access, and trust engineering requirements into technical strategy and execution plans
- Ability to resolve cross-functional priorities and resource constraints
- Written and verbal communication skills
- Experience using AI-enabled tools for program strategy, problem-solving, analysis, and automation
- Ability to work onsite three days per week in Bellevue, Seattle, San Francisco, or Mountain View
Responsibilities
- Define and own the security program strategy and roadmap
- Drive initiatives across identity infrastructure, data governance, platform security, machine learning, and trust engineering
- Oversee complex security engineering initiatives from strategy through outcomes
- Influence design decisions, identify risks, and remove roadblocks
- Define and track security KPIs and OKRs
- Present program status, risks, and progress to executive and technical audiences
Benefits
- Annual performance bonus eligibility
- Equity eligibility
