We’re hiring an Engineering Manager, Fraud & Abuse to build the systems that protect Cursor from fraud, abuse, and misuse as we scale.

This is a hands-on role: you will set direction, write code, and build the platform, tooling, and decisioning systems we use to detect, prevent, and respond to fraud and abuse.

You will work cross-functionality to understand our current risks and workflows across the company. This role is specifically about mitigating known vectors while building strong defenses that are accurate, scalable, and practical to operate.

What you’ll do

• Improve fraud and abuse systems end-to-end, from detection and risk scoring to enforcement and reporting. Enhancing existing fraud prevention systems provided by vendors.

• Write and ship code directly in the codebase, unblock critical work, and set a high bar for engineering quality, reliability, and execution. This will involve making product enhancements to assist with mitigating fraud.

• Build tooling and guidance that operations teams will use handle high-risk accounts.

• Hire and grow the team by recruiting, interviewing, closing, and onboarding engineers, and by establishing strong operating rhythms and engineering standards.

• Design and ship a centralized platform that incrementally delivers value to known fraud then scales as vectors diversify and our product evolves.

• Partner deeply with Billing, Growth, Finance, Security, Operations, and Legal to identify major fraud and abuse risks, improve signal quality, and build defenses that are effective without creating unnecessary friction or complexity.

• Own outcomes such as fraud loss, detection latency, enforcement quality, and investigation time.

You may be a fit if

• You have built fraud detection and abuse prevention for usage-based services in the past.

• You have implemented risk scoring, policy engines, enforcement pipelines, case management, payments or subscriptions systems, and human-in-the-loop review workflows.

• You have experience mitigating social engineering attempts.

• You’ve leveraged Stripe, WorkOS, and other third-party vendors creatively with success.

• You have experience working cross-functionally with non-engineering teams.

• You have led incident response for fraud/abuse incidents.

• You are excited and capable to be hands-on writing and debugging Typescript on day 1.

• You have significant experience managing and developing engineering teams, including hiring and performance coaching.

• You have experience in LLM Safety & Integrity.

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This role is not simply about running programs,it is about designing and scaling the engineering platforms, guardrails, and operating models that make secure and compliant product development the default across a rapidly growing, multi-cloud ecosystem.

As a Director of Engineering, Governance Foundation, you will lead a team of senior security engineers, partner with product and infrastructure leaders, and shape the foundational governance systems that enable Databricks to innovate quickly while maintaining world-class security and customer trust.

Your responsibilities will include:

• Defining the company-wide strategy for embedding security, privacy, and responsible data use across engineering workflows and platform components.

• Building scalable governance frameworks that help engineering teams design secure systems from the start, not after the fact.

• Establishing and leading a Security & Privacy Postmortem Review process that drives learning, accountability, and long-term resilience.

• Ensuring insights from incidents translate into systemic improvements across tools, infrastructure, and engineering culture.

• Rebuilding and scaling a Security Champions Network that brings security and governance expertise directly into product and infrastructure teams.

• Creating centralized enablement, tooling, and shared learning systems that allow thousands of engineers to integrate security seamlessly.

• Leading efforts to ensure responsible data use across AI/ML systems, SaaS environments, and internal workspaces.

• Defining and enforcing policies that uphold privacy, integrity, auditability, and proper data lifecycle management.

• Transforming security into a key enabler for engineering velocity.

• Delivering automation, self-service tools, and intelligent guardrails that reduce developer friction while increasing safety and compliance.

• Building JIT (Just-In-Time) security education and systems that proactively surface risky behaviour before it becomes an incident.

• Identifying and elevating Databricks' security posture to exceed DB50 customer expectations, including areas such as audit logging, controlled access workflows, secure asset import/export, behaviour monitoring and lineage.

• Partnering with security, IT, and compliance teams to ensure readiness for the most demanding enterprise and regulated environments.

To be successful in this role, you will need:

• 10+ years of experience in large-scale software engineering, with at least several years leading engineering managers and senior ICs.

• Strong technical grounding in backend systems, distributed systems, identity/security, or enterprise cloud platforms.

• Experience defining governance, security, or enterprise-grade platform capabilities.

• A background as a senior IC (e.g., Staff/Principal Engineer) at some point,this role requires deep technical credibility.

• Proven success hiring, developing, and retaining senior engineering talent.

• Expertise driving cross-functional technical programs with senior stakeholders.

• Experience building cloud-agnostic or multi-cloud services.

• Background in enterprise features such as access control, policy engines, compliance, or identity systems.

• Experience leading organisations through scaling phases in high-growth environments.

You will be rewarded with a competitive salary range of $255,900-$305,350 USD, plus eligibility for annual performance bonus, equity, and comprehensive benefits.

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We are seeking a highly technical and influential Director of Engineering, Governance Foundation to define how security, privacy, and responsible data practices are built into the core of Databricks' products and infrastructure.

This role is not simply about running programs,it is about designing and scaling the engineering platforms, guardrails, and operating models that make secure and compliant product development the default across a rapidly growing, multi-cloud ecosystem.

Responsibilities

Security & Privacy Governance Architecture

• Define the company-wide strategy for embedding security, privacy, and responsible data use across engineering workflows and platform components.

• Build scalable governance frameworks that help engineering teams design secure systems from the start, not after the fact.

Incident Learning & Prevention

• Establish and lead a Security & Privacy Postmortem Review process that drives learning, accountability, and long-term resilience.

• Ensure insights from incidents translate into systemic improvements across tools, infrastructure, and engineering culture.

Security Champions & Distributed Expertise

• Rebuild and scale a Security Champions Network that brings security and governance expertise directly into product and infrastructure teams.

• Create centralized enablement, tooling, and shared learning systems that allow thousands of engineers to integrate security seamlessly.

Data Governance for Products & AI

• Lead efforts to ensure responsible data use across AI/ML systems, SaaS environments, and internal workspaces.

• Define and enforce policies that uphold privacy, integrity, auditability, and proper data lifecycle management.

Developer-Centric Security Enablement

• Transform security into a key enabler for engineering velocity.

• Deliver automation, self-service tools, and intelligent guardrails that reduce developer friction while increasing safety and compliance.

• Build JIT (Just-In-Time) security education and systems that proactively surface risky behaviour before it becomes an incident.

Security Maturity & Customer Trust

• Identify and elevate Databricks' security posture to exceed DB50 customer expectations, including areas such as:

• audit logging

• controlled access workflows

• secure asset import/export

• behaviour monitoring and lineage

• Partner with security, IT, and compliance teams to ensure readiness for the most demanding enterprise and regulated environments.

Requirements

• 10+ years of experience in large-scale software engineering, with at least several years leading engineering managers and senior ICs.

• Strong technical grounding in backend systems, distributed systems, identity/security, or enterprise cloud platforms.

• Experience defining governance, security, or enterprise-grade platform capabilities.

• A background as a senior IC (e.g., Staff/Principal Engineer) at some point,this role requires deep technical credibility.

• Proven success hiring, developing, and retaining senior engineering talent.

Preferred Qualifications

• Experience building cloud-agnostic or multi-cloud services.

• Background in enterprise features such as access control, policy engines, compliance, or identity systems.

• Experience leading organisations through scaling phases in high-growth environments.

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 utilising 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 $243,100-$290,100 USD

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Location

San Francisco; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

We’re looking for a Software Engineer to architect and build backend systems that enforce data privacy and automate compliance at scale. You’ll work closely with product, infrastructure, security, and legal teams to embed privacy-by-design into our data and access layers.

This is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation.

What You’ll Do

• Design, build, and operate backend services that enforce policy-driven data access, lifecycle controls, and privacy protections.

• Develop distributed authorization and identity-aware enforcement mechanisms integrated directly into data services and control planes.

• Implement auditability, policy hooks, and enforcement observability to ensure compliance is continuously verifiable.

• Partner with Security, Legal, and Compliance to convert privacy requirements into scalable technical designs and developer-friendly APIs.

• Harden data platforms and backend services through schema-level controls and data handling constraints by default.

• Collaborate with infrastructure teams to ensure consistent enforcement across systems while minimizing duplicated implementations.

• Contribute patterns, libraries, and education that elevate trustworthy data access patterns across the organization.

You Might Thrive in This Role If You Have

• 5+ years of industry experience building and operating backend or infrastructure systems in production.

• Strong software engineering fundamentals, with fluency in at least one major programming language (e.g., Python, Go, Rust, C++, Java).

• Experience with distributed authorization, RBAC/ACL systems, encryption-based access, or policy engines.

• Familiarity with global privacy regulations and their architectural implications.

• Ability to influence and collaborate with teams across legal, compliance, product, and engineering.

• A bias toward practical, impactful solutions that balance privacy protections with product needs.

Nice to Have

• Experience with cloud platforms (e.g., Azure, AWS, GCP) and large-scale data systems.

• Background in security engineering, privacy engineering, or data governance.

• Experience with control-plane or metadata-driven enforcement systems.

• Exposure to data platforms or ML infrastructure.

• Prior experience in a regulated or highly sensitive data environment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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