Full-Time

Security Engineer

Detection and Response

OpenAI

OpenAI

5,001-10,000 employees

Develops safe AI models and tools

No salary listed

London, UK + 1 more

More locations: Dublin, Ireland

In Person

Category
IT & Security (1)
Requirements
  • 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.
Responsibilities
  • 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.

OpenAI conducts AI research and deployment to build advanced AI models and tools that help people automate tasks, be more creative, and make better decisions. Its products include ChatGPT, a conversational AI that can write, code, tutor, and assist in interactive tasks, and Sora, which can generate videos from text prompts. OpenAI’s models typically run through cloud-based services and subscriptions, with licensing and partnerships for broader use. The company operates a capped-profit model to balance generating revenue with ensuring safety, ethics, and long-term societal benefits. Its approach emphasizes safety, responsible deployment, and collaboration with researchers, governments, and institutions. The goal is to ensure artificial general intelligence, when it arrives, benefits all of humanity and minimizes risks.

Company Size

5,001-10,000

Company Stage

Late Stage VC

Total Funding

$196B

Headquarters

San Francisco, California

Founded

2015

Simplify Jobs

Simplify's Take

What believers are saying

  • $122 billion funding at $852 billion valuation closed March 31, 2026.
  • Nvidia's $30 billion investment funds chips and data centers.
  • $4 billion Deployment Company backed by TPG and Bain Capital.

What critics are saying

  • Ilya Sutskever's Safe Superintelligence Inc competes using OpenAI knowledge.
  • $14 billion 2026 losses and doubled GPT-5.5 pricing drive customer churn.
  • Capped-profit model forces equity dilution in next funding round.

What makes OpenAI unique

  • OpenAI's ChatGPT reached $2 billion monthly revenue by April 2026.
  • Deployment Company acquires Tomoro's 150 engineers for enterprise AI integration.
  • GPT-5.5-Cyber gains EU Commission access ahead of Anthropic's Mythos.

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Benefits

Health insurance

Dental and vision insurance

Flexible spending account for healthcare and dependent care

Mental healthcare service

Fertility treatment coverage

401(k) with generous matching

20-week paid parental leave

Life insurance (complimentary)

AD&D insurance (complimentary)

Short-term/long-term disability insurance (complimentary)

Optional buy-up life insurance

Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)

Annual learning & development stipend

Regular team happy hours and outings

Daily catered lunch and dinner

Travel to domestic conferences

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

3%

2 year growth

2%
Daring Fireball
May 8th, 2026
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Bloomberg L.P.
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Bloomberg L.P.
Apr 16th, 2026
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OpenAI is addressing enterprise adoption challenges with GPT-5.4 "Cyber", focusing on security, trust and governance issues. Erica Brescia, managing director at Redpoint Ventures and OpenAI backer, discussed the development, emphasising that the AI cyber race centres on governance rather than purely technological advancement. The move represents OpenAI's effort to overcome barriers preventing widespread enterprise adoption of its AI systems by prioritising security features in its latest model release.

Bloomberg L.P.
Apr 16th, 2026
OpenAI launches GPT-Rosalind AI model for drug discovery to rival Google

OpenAI has launched GPT-Rosalind, an AI model designed to accelerate drug discovery and life sciences research. The model aims to extract insights from large datasets and help translate scientific studies into healthcare applications. Initially available as a research preview to select business customers, GPT-Rosalind's early users include pharmaceutical company Amgen, vaccine maker Moderna and bioscience research nonprofit the Allen Institute. The launch positions OpenAI alongside other technology companies entering the drug discovery field, as the industry seeks to demonstrate AI's potential for scientific breakthroughs. The ChatGPT maker announced the model's release on Thursday.