Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
API @ 3
Codex @ 3
AI @ 1
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About the Team
OpenAI’s Cyber team works to make frontier AI a decisive advantage for defenders. The Cyber Blue Team is an operator-led group focused on turning real defensive problems into better models, useful products, safe Codex workflows, and integrations with the security tools defenders already use.
Our ambition is simple: Raise attacker cost. Lower defender toil. Prove it by defending OpenAI; scale it through the ecosystem.
We are not setting out to build another SIEM or autonomous SOC. We want to build the AI reasoning and workflow layer that helps security teams investigate threats, create and validate detections, improve their controls, and respond with greater speed and confidence.
About the Role
We are looking for a Product Manager to help build a new generation of AI-powered cyber defense products. You will work closely with security practitioners, researchers, engineers, designers, internal security teams, customers, and technology partners to turn emerging model capabilities into products that solve meaningful defensive problems.
This is an early-stage product role spanning product discovery, prototyping, evaluation, development, launch, and iteration. Initial focus areas may include detection engineering and detection-content development, threat hunting and investigation, security validation and control testing, AI-agent and MCP runtime defense, integrations with security platforms and enterprise workflows, and safe, governed assistance for incident response.
Responsibilities
- Work with security practitioners to understand high-value defensive workflows, recurring pain points, and opportunities for AI to materially improve outcomes.
- Help shape and build products from early concept through prototype, evaluation, launch, and ongoing iteration.
- Translate complex security and model capabilities into clear product requirements and intuitive user experiences.
- Partner with research and engineering teams to connect model improvements with real product use cases.
- Collaborate with OpenAI’s internal Detection & Response team to learn from operational needs and develop reusable capabilities.
- Help develop Codex-based workflows that allow defenders to investigate, create, test, and improve security content using existing tools.
- Work with security vendors and customers on integrations, design partnerships, and early deployments.
- Define practical measures of product quality, including accuracy, usefulness, safety, adoption, and analyst efficiency improvements.
- Help establish safeguards for permissions, approvals, auditability, tenant isolation, and high-impact security actions.
- Support product launches, technical demonstrations, customer engagements, and practitioner-focused content.
- Turn lessons from engagements into repeatable products, playbooks, and platform capabilities.
Requirements
- Experience building enterprise, developer, infrastructure, or cybersecurity products.
- Comfortable with zero-to-one product development and working in areas where the product, market, and technology are evolving.
- Able to move from a technical capability to a dependable product.
- Experience working with researchers, engineers, designers, security practitioners, and commercial teams.
- Strong product judgment and ability to balance user value, technical feasibility, safety, and speed.
- Comfortable working directly with customers and partners to learn, prototype, and iterate.
- Able to make complex technical systems understandable without oversimplifying.
- Willingness to operate at multiple levels from strategy to detailed workflow design and execution.
Nice to Have
- Experience with security operations, detection and response, threat intelligence, identity security, endpoint security, or security analytics.
- Familiarity with products such as SIEM, EDR, XDR, SOAR, network security, identity platforms, or security validation tools.
- Experience building AI products, agentic systems, developer tools, or enterprise integrations.
- Familiarity with model evaluations, benchmark design, or human-in-the-loop product workflows.
- Experience building partner ecosystems, APIs, connectors, or platform products.
- A history of working closely with technical or practitioner communities.
What Success Could Look Like
- Identify a small number of high-value defensive workflows where OpenAI models create meaningful advantage.
- Ship products that move beyond demonstrations and become part of how defenders work.
- Establish feedback loops between practitioners, product development, evaluations, and model research.
- Build reusable Codex workflows and integrations rather than one-off customer solutions.
- Demonstrate measurable improvements in defensive outcomes and analyst productivity (example central measure: measured improvement in defensive outcomes per analyst-hour).
- Develop trusted relationships with internal security teams, customers, and security technology partners.
- Contribute to OpenAI becoming a respected and useful member of the broader cyber defense community.
Benefits & Compensation
- Listed base pay range: $293K – $385K (base may vary by location, experience, and other factors). Total compensation may include equity and performance-related bonus(es).
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
- Pre-tax Health FSA, Dependent Care FSA, and commuter accounts.
- 401(k) with employer match.
- Paid parental leave and paid medical/caregiver leave.
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.
- 13+ paid company holidays and coordinated office closures.
- Mental health and wellness support; employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees.
- Additional taxable fringe benefits such as donation matching and wellness stipends.
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 AI capabilities and seek to safely deploy them through our products. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.