
201 - 500 employees
Founded 2015
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
OpenAI is a leading research organization and company dedicated to creating advanced artificial intelligence technology, with a strong emphasis on safety and ethical considerations. OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. The company develops AI products like ChatGPT, which can assist users with tasks ranging from everyday requests to complex enterprise solutions. OpenAI also provides an API platform that integrates its AI models into various applications. The company is focused on innovation in AI and improving data analysis capabilities, while emphasizing safety and ethical governance of their systems.
🕒 March 27
🏢🏡 San Francisco – Hybrid
💵 $234.4k - $385k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👮♂️ Cybersecurity / Security Engineer
🦅 H1B Visa Sponsor
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201 - 500 employees
Founded 2015
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
OpenAI is a leading research organization and company dedicated to creating advanced artificial intelligence technology, with a strong emphasis on safety and ethical considerations. OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. The company develops AI products like ChatGPT, which can assist users with tasks ranging from everyday requests to complex enterprise solutions. OpenAI also provides an API platform that integrates its AI models into various applications. The company is focused on innovation in AI and improving data analysis capabilities, while emphasizing safety and ethical governance of their systems.
• Build and evolve Detection & Response capabilities across OpenAI’s infrastructure, products, and research environments, with an emphasis on high-signal detection and reliable operational response. • Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops (coverage, precision, latency), tuning processes, and safe rollout patterns. • Automate response and investigations by building workflows that reduce toil (triage, enrichment, containment, evidence capture) and improve time-to-understand/time-to-contain. • Partner with other Security teams and system/infrastructure owners across the company to ensure new systems ship with the right telemetry, threat models, and response playbooks from day one. • Define D&R requirements and drive visibility across endpoints, identity, SaaS, cloud, Kubernetes: identify telemetry/control gaps, prioritize them, and advocate for fixes with partner teams (and implement directly when it’s the fastest/most effective path). • Evaluate and respond to emergent security concerns in a frontier AI lab environment, such as detection and response strategies for agents operating across infrastructure at scale.
• Have hands-on threat detection and/or incident response experience, including building detections, running investigations, and improving operational playbooks. • Understand modern adversary tradecraft (TTPs) and can translate it into practical detection strategies and response actions. • Bring a threat modeling mindset. You can evaluate new infrastructure or features, identify D&R implications (what could go wrong, what we’d need to see, how we’d respond), and turn that into concrete requirements for teams shipping the system. • Have experience working in Kubernetes/containerized environments, including building detections from cluster telemetry and understanding common failure and attack modes (workloads, nodes, control plane, networking). • Are comfortable reasoning about lower-level infrastructure and datacenter risks, such as firmware/BMC surfaces, network segmentation/telemetry, and hard-to-observe control paths. • Have experience across major cloud platforms (Azure, AWS, GCP, OCI), and can design cloud-agnostic detection approaches where possible. • Like building automation that replaces repetitive D&R work, including thoughtfully using agent-style workflows where they meaningfully reduce toil, while keeping outcomes measurable, auditable, and safe. • Are energized by new problem areas at a forward-leaning technology company: e.g., thinking through how to detect and respond to agents operating across systems at scale, and turning those ideas into pragmatic telemetry and response requirements. • Communicate clearly and collaborate well across teams. You can translate D&R needs into clear requirements, align stakeholders, and drive follow-through across technical and non-technical audiences. • Are comfortable with scripting and enjoy using AI/agent tooling to accelerate investigations and automation—more “directing” than doing everything by hand.
• 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.
Apply Now🕒 March 26
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