About the company
Databricks builds and runs the world's best data and AI infrastructure platform so customers can use deep data insights to improve their business.
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.
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).
- 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.
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.
- Deep technical literacy in IAM (OAuth 2.0 / OIDC), data privacy controls, anomaly detection pipelines, abuse prevention systems and risk assessment.
- Experience operating in hyperscale cloud environments such as AWS, Azure, or GCP, or in complex distributed data-processing environments.
- Strong written and verbal communication skills.
- Experience using AI-enabled tools to accelerate program strategy, technical problem-solving, analysis, and automation.
Conditions
- Ability to work onsite three days per week in Bellevue, Seattle, San Francisco, or Mountain View.
- Total compensation package may include annual performance bonus, equity, and benefits.