2 hours ago
Base Salary
$185k - $300k/yr
Responsibilities
- Partner with customer security leaders and Go-to-Market teams to scope engagements, define responsibilities, and establish measurable success criteria.
- Lead technical design and implementation with customer engineers, including integrating agents into security workflows and defining access boundaries and human-review requirements.
- Build evaluations that measure security outcomes such as exploit prevention, detection speed, and false-positive rates.
- Guide production rollouts by providing observability and operational controls for customer engineering teams.
- Translate successful deployment approaches into reusable tools and engineering practices.
- Work with Research and Product teams to define and build capabilities that address gaps in customer security needs.
Requirements
- At least 5 years of software engineering experience, including building and shipping production software.
- Experience protecting production systems through security engineering, infrastructure, SRE, DevOps, or product engineering work.
- Experience building and evaluating AI agents for software engineering workflows.
- Experience with CI/CD pipelines and practices supporting code quality, reliability, and security.
- Ability to navigate unfamiliar codebases and make maintainable, production-quality changes.
- Ability to communicate technical concepts and trade-offs to engineering teams and senior security stakeholders.
- Additional relevant experience may include application security, automated remediation, detection engineering, cloud and identity security, security research, agent security, or security community engagement.
- Preferred technical experience includes CodeQL, Semgrep, fuzzing, Sigma, YARA, Splunk, KQL, malware reverse engineering, exploit reproduction, vulnerability research, prompt-injection testing, tool-misuse testing, and credential-exposure defenses.
Benefits
- Hybrid work model with 3 days per week in the San Francisco office.
- Relocation assistance is offered.
- Travel up to 50% is required.
Tech Stack
Splunk
Categories
Forward Deployed
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.