Drive technical execution for security initiatives at Databricks, ensuring platform integrity and user data privacy.
Posted by employer 1 day ago
First seen on Joblaze 6 hours ago
Last verified on the company career page 6 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
Practical constraints
AI in the day-to-day
Experience using AI-enabled tools to accelerate program strategy, technical problem-solving, analysis, and automation.
Requirements
Not disclosed in this posting: visa sponsorship.
Joblaze summary
In the role of Staff Technical Program Manager for Trust & Safety Engineering at Databricks, the individual will oversee the execution of security initiatives that ensure platform integrity and user privacy. This position requires a strong background in security engineering, cloud systems, and identity management, along with the ability to translate complex security requirements into actionable plans. Ideal candidates will have extensive experience in technical program management, particularly in cloud-native environments, and a proven track record of driving cross-functional collaboration. The role is embedded within engineering teams, emphasizing a data-driven approach to security and risk
Joblaze insights
Quick facts
From the original posting
P-1489
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.
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. This role is focused on technical execution, resolving complex engineering dependencies, and delivering scalable systems that guarantee identity integrity and prevent platform abuse.
What We're Looking For
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
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