Product Manager, Cyber Defense and Blue Team

Details

OpenAI’s 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 existing security tools. The team aims to raise attacker cost, lower defender toil, and build an AI reasoning and workflow layer for security teams rather than another SIEM or autonomous SOC.

The Product Manager will help build AI-powered cyber defense products and work with security practitioners, researchers, engineers, designers, internal security teams, customers, and technology partners. This early-stage role spans product discovery, prototyping, evaluation, development, launch, and iteration.

Responsibilities

• Understand high-value defensive workflows, recurring pain points, and opportunities for AI to improve outcomes.
• Shape and build products from early concept through prototype, evaluation, launch, and 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 on operational needs and reusable capabilities.
• Develop Codex-based workflows for investigating, creating, testing, and improving security content.
• Work with security vendors and customers on integrations, design partnerships, and early deployments.
• Define product-quality measures including accuracy, usefulness, safety, adoption, and analyst efficiency.
• 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 individual engagement lessons into repeatable products, playbooks, and platform capabilities.

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, security-platform and enterprise-workflow integrations, and governed assistance for incident response.

Requirements

• Experience building enterprise, developer, infrastructure, or cybersecurity products.
• Comfort with zero-to-one product development in evolving product, market, and technology environments.
• Ability to turn technical capabilities into dependable products.
• Ability to work effectively with researchers, engineers, designers, security practitioners, and commercial teams.
• Strong product judgment and the ability to balance user value, technical feasibility, safety, and speed.
• Comfort working directly with customers and partners to learn, prototype, and iterate.
• Ability to explain complex technical systems without oversimplifying them.
• Commitment to building measurable, trustworthy, and useful products for real operational environments.
• Willingness to work across product direction, roadmap discussions, workflow design, and launch execution.

Nice to Have

• Experience with security operations, detection and response, threat intelligence, identity security, endpoint security, or security analytics.
• Familiarity with 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.
• Experience working closely with technical or practitioner communities.

Success Measures

Success includes identifying high-value defensive workflows where OpenAI models provide meaningful advantages, shipping products that become part of defenders’ workflows, establishing feedback loops between practitioners and model research, building reusable Codex workflows and integrations, improving defensive outcomes and analyst productivity, and developing trusted relationships with security teams, customers, and technology partners. An example central measure is measured improvement in defensive outcomes per analyst-hour.

Benefits

• Base salary of $293,000–$385,000 per year, plus equity and performance-related bonuses for eligible employees.
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax FSA, dependent-care, and commuter accounts.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, paid company holidays, and office closures.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.

OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.