Strategic Overview
Staff Technical Program Manager- Security at Databricks is a product opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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…
The role is listed for Mountain View, California / San Francisco, California with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
P-1489
Key Responsibilities & Objectives
- 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.
Required Qualifications & Candidate Blueprint
- 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.
Salary & Benefits
Published compensation: $222,500 – $305,900 USD
- Define and track security metrics (KPIs, OKRs), using data to drive decisions, communicate program health, and measure business impact.
- Strong strategic thinking, with the ability to see the big picture, translate vision into execution, and drive alignment across senior stakeholders.
Salary Benchmark
This role’s published compensation is compared with current employer-disclosed salary ranges for the same role at the Staff level in the same currency.
Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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.
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This product opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Define, articulate, and own the security program strategy and roadmap, ensuring alignment with Databricks’ business and product goals. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
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