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 patch effectiveness, detection speed, false-positive rates, and other defender-relevant outcomes.
- Guide production rollouts by providing observability and controls for system operation, intervention, and adoption.
- Translate successful deployment approaches into reusable tools and engineering practices.
- Collaborate with Research and Product teams to define, build, and test capabilities based on customer security needs.
Requirements
- 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 contribute maintainable, production-quality changes.
- Ability to communicate technical concepts and trade-offs to engineering teams and senior security stakeholders.
- Additional experience in application security, automated remediation, detection engineering, cloud and identity security, security research, agent security, or security experimentation is welcomed.
- Experience with tools or practices such as CodeQL, Semgrep, fuzzing, Sigma, YARA, Splunk, KQL, cloud IAM, malware reverse engineering, exploit reproduction, or vulnerability research is welcomed.
Benefits
- Hybrid work model based in New York with three days in the office per week.
- 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.