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Greenhouse

Staff Technical Program Manager- Security

Databricks · Mountain View, California; San Francisco, California

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Level: Lead
Where: Mountain View, California; San Francisco, California
Posted: 5d ago
Last seen on its board: Unknown

Skills in this posting

Distributed Systems
Project Management
Machine Learning
Cross-functional Collaboration
IAM
Cryptography
GDPR
Databricks
Data Warehousing
Analytics
Scalability
Product Management
Azure
OAuth
Excel
AWS
GCP
UX

The 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. 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. This role is focused on technical execution, resolving complex engineering dependencies, and delivering scalable systems that guarantee identity integrity and prevent platform abuse. Key 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. What You'll Bring - Proven experience leading large-scale, ambiguous security programs that operate across organizational boundaries, ideally in cloud-native or SaaS environments. - Strong strategic thinking, with the ability to see the big picture, translate vision into execution, and drive alignment across senior stakeholders. - Deep technical literacy in IAM (OAuth 2.0 / OIDC), data privacy controls, anomaly detection pipelines, abuse prevention systems and risk assessment, comfortable partnering directly with engineering leaders and architects. - Ability to develop scalable solutions, optimize processes, and foster a “security by default” mindset across engineering and developer teams. - Data-driven approach: skilled at defining effective metrics, surfacing insights, and using results to shape strategy and demonstrate impact. - A track record of building consensus and driving outcomes in a fast-paced, highly collaborative environment. What We're Looking For - Minimum Qualifications - 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. 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 . SF Bay Area Hourly Rate $222,500 - $305,900 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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