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.

The Role

We are seeking a Senior Staff Technical Program Manager to own and lead a company-wide portfolio of security programs spanning Trust & Safety Engineering, Identity and Access Management, Platform Security, Security Operations, Product Security, and IT.

This role will take a major security risk portfolio from strategy to measurable risk reduction by driving prioritization, architecture alignment, investment planning, execution, adoption, and operationalization. The scope connects customer-facing product security with internal engineering and enterprise controls across Databricks’ product, corporate, and Databricks-on-Databricks environments.

Success means advancing a complex security domain, creating clarity where direction is incomplete, and materially improving Databricks’ security posture, customer trust, and ability to operate at scale. The TPM will structure ambiguous problems, evaluate technical and resourcing tradeoffs, establish durable decision mechanisms, and align VP- and Director-level organizations with competing priorities and shared dependencies.

This is an executive-facing role and a trusted partner to C-suite executives, VPs of Engineering and Product, Security executives, and senior architects. The TPM will communicate risk, options, decisions, progress, and escalations with precision; embed security commitments in technical roadmaps and launch processes; and strengthen secure-by-default controls, measurable risk ownership, and operational readiness. The role will also elevate the broader TPM community through mentorship, reusable operating mechanisms, and high standards for technical program leadership.

This position is located on-site in Bellevue, WA; Seattle, WA; San Francisco, CA; or Mountain View, CA.

The Impact You’ll Have

• Architect and drive execution of strategic security initiatives across Trust & Safety Engineering, Identity and Access Management, Security, and IT.

• Establish company-wide processes to identify, track, and resolve high-risk security issues while influencing architecture and infrastructure decisions.

• Connect core security infrastructure to platform services so unified identity, data lineage, and audit controls extend across structured, unstructured, and AI workloads.

• Resolve cross-organizational blockers with Director-, VP-, and C-suite engineering leaders while balancing technical tradeoffs and resource constraints.

• Mentor TPMs and strengthen standards for technical rigor, operational execution, and program management.

• Represent Databricks’ security architecture and posture in executive technical reviews and, where appropriate, industry forums.

What We’re Looking For

• Minimum Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent technical experience.

• 10+ 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, policy, and compliance 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.

• Experience with external security research, open-source contributions, or speaking at major technical conferences.

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.

Local Pay Range
$180,200—$243,340 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.

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.

The Role

We are seeking a Senior Staff Technical Program Manager to own and lead a company-wide portfolio of security programs spanning Trust & Safety Engineering, Identity and Access Management, Platform Security, Security Operations, Product Security, and IT.

This role will take a major security risk portfolio from strategy to measurable risk reduction by driving prioritization, architecture alignment, investment planning, execution, adoption, and operationalization. The scope connects customer-facing product security with internal engineering and enterprise controls across Databricks’ product, corporate, and Databricks-on-Databricks environments.

Success means advancing a complex security domain, creating clarity where direction is incomplete, and materially improving Databricks’ security posture, customer trust, and ability to operate at scale. The TPM will structure ambiguous problems, evaluate technical and resourcing tradeoffs, establish durable decision mechanisms, and align VP- and Director-level organizations with competing priorities and shared dependencies.

This is an executive-facing role and a trusted partner to C-suite executives, VPs of Engineering and Product, Security executives, and senior architects. The TPM will communicate risk, options, decisions, progress, and escalations with precision; embed security commitments in technical roadmaps and launch processes; and strengthen secure-by-default controls, measurable risk ownership, and operational readiness. The role will also elevate the broader TPM community through mentorship, reusable operating mechanisms, and high standards for technical program leadership.

This position is located on-site in Bellevue, WA; Seattle, WA; San Francisco, CA; or Mountain View, CA.

The Impact You’ll Have

• Architect and drive execution of strategic security initiatives across Trust & Safety Engineering, Identity and Access Management, Security, and IT.

• Establish company-wide processes to identify, track, and resolve high-risk security issues while influencing architecture and infrastructure decisions.

• Connect core security infrastructure to platform services so unified identity, data lineage, and audit controls extend across structured, unstructured, and AI workloads.

• Resolve cross-organizational blockers with Director-, VP-, and C-suite engineering leaders while balancing technical tradeoffs and resource constraints.

• Mentor TPMs and strengthen standards for technical rigor, operational execution, and program management.

• Represent Databricks’ security architecture and posture in executive technical reviews and, where appropriate, industry forums.

What We’re Looking For

• Minimum Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent technical experience.

• 10+ 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, policy, and compliance 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.

• Experience with external security research, open-source contributions, or speaking at major technical conferences.

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.

Local Pay Range
$180,200—$243,340 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.