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Forward Deployed Engineer (FDE), Cyber - SF

at Openai

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Alerts for Developer in San Francisco
May require office time ● Posted today San Francisco $185K - $300K

About this role

About the team OpenAI’s Forward Deployed Engineering team builds with customers to bring frontier AI into production. Our Cyber FDEs partner with the security and engineering teams that defend globally critical systems, from enterprise software to the core infrastructure it runs on. Cyber FDEs work closely with our Product, Research, and Go-to-Market teams to adapt our products and models to what customers need to defend their systems. About the role You’ll build systems that give defenders an advantage at a scale few engineering teams encounter. You might help an enterprise identify, test, and deploy patches across hundreds of thousands of code repositories, or help a security team analyze petabytes of logs for signs of malicious agents or coordinated attacks. Across these deployments, you’ll build tools that customer engineers can trust to support consequential security decisions. You’ll work directly with customer security teams, from CISOs to frontline analysts. As AI changes how attackers operate, you’ll help these teams determine where their defenses need to evolve, prioritize what to build, and validate solutions with the engineers who will operate them. Alongside OpenAI’s account teams, you’ll translate security priorities into deployed systems that help defenders cover more ground. You’ll also help shape what OpenAI builds next. When you identify a gap between what defenders need and what today’s models or products can do, you’ll partner with Research and Product to define, build, and test capabilities that address it. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will: - Partner with customer security leaders and OpenAI’s Go-to-Market team to scope engagements, establish responsibilities, and define measurable success criteria. - Lead technical design and implementation alongside customer engineers. Integrate agents into security workflows, establish access boundaries, and determine which actions require human review. - Build evaluations grounded in the decisions defenders make. For a patching agent, test whether a fix blocks a known exploit while preserving expected application behavior. For a detection system, replay historical attacks alongside normal traffic to measure detection speed and false-positive rates. - Guide production rollout with the engineers who will operate the system. Provide the observability and controls they need to understand system behavior, intervene when necessary, and expand adoption with confidence. - Translate successful approaches across deployments into reusable tools and engineering practices that other defenders can adopt. You might thrive in this role if you: - 5+ years of software engineering experience, including building and shipping production software. - Experience protecting production systems through work in security engineering, infrastructure, SRE, DevOps, or product engineering. - Experience building and evaluating AI agents for software engineering workflows. - Experience with CI/CD pipelines and practices that maintain code quality, reliability, and security. - Ability to navigate unfamiliar codebases and contribute maintainable, production-quality changes. - Ability to communicate technical concepts and trade-offs to engineering teams and senior security stakeholders. Additional experience Cybersecurity spans many disciplines, and while we’re primarily looking for strong engineering generalists, we’d love to hear about deeper experience in any of the following areas: - Security curiosity and experimentation: You read CVE write-ups because you want to understand how things break. You may have built an agent honeypot to test a hypothesis—or prove a point—and enjoy turning a security question into a hands-on experiment. - Security community engagement: You enjoy exchanging ideas with defenders, whether that’s discussing security strategy with a CISO at Black Hat or comparing technical approaches with frontline practitioners. - Application security: You’ve written CodeQL queries or Semgrep rules, built fuzzing harnesses, or discovered and responsibly disclosed vulnerabilities. - Automated remediation: CI/CD is your happy place. You’ve built tooling that turns security findings into tested patches, dependency upgrades, or configuration changes across large codebases. - Detection engineering: You’ve written and deployed detections using Sigma, YARA, Splunk, or KQL and tested them against attacker behavior. - Cloud and identity security: You’ve designed cloud IAM architectures and investigated abuse of workload identities, role hierarchies, or cross-account trust. - Security research: You’ve reverse-engineered malware, developed exploit reproductions, or contributed to vulnerability research. - Agent security: You’ve tested agents for prompt injection, tool misuse, or credential exposure and built defenses against them. 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.  We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Real Remote Score 67/100 · see the full breakdown

Real Remote Score

67/100

Solid

Comp
25/25
Location
4/25
Source
15/15
Clarity
3/15
Freshness
20/20
Why this score? ▾
  • Compensation · Full salary range disclosed 25/25
  • Location · Specific city or narrow scope 4/25
  • Source · Direct employer ATS 15/15
  • Role clarity · Neither seniority nor stack in title 3/15
  • Freshness · Posted today 20/20

How the Real Remote Score is calculated → · Score appeals & corrections

Salary in context

About 6% above median for Software Engineering

Listing floor: $185,000 · Role median across 924 peers: $175,000 · 25th–75th: $131,000–$220,000

Numbers refresh from the live corpus. Compare the full distribution at /tools/salary-index/ or run a city PPP adjustment at /tools/salary-calculator/.

Hybrid Transparency Score 70/100 · see the full breakdown

Hybrid Transparency Score

70/100

Solid · 3 days/wk onsite

Days
30/30
Location
15/30
Schedule
0/15
Relocation
15/15
Source
10/10

This role is hybrid: it expects some in-office presence. HTS grades how clearly the employer discloses the hybrid terms. How the Hybrid Transparency Score works →

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