Description
Compensation
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $293K – $385K per year.
In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits:
- 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.
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 to raise attacker cost, lower defender toil, and prove it by defending OpenAI; scale it through the ecosystem.
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. The work will span product discovery, prototyping, evaluation, development, launch, and iteration. You will help the team identify where AI can create the most value for defenders and translate those opportunities into clear, usable, and trustworthy product experiences.
Initial areas of focus 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
- Safe, governed assistance for incident response
In This Role, You Will
- 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 real operational needs and develop reusable capabilities.
- Help develop Codex-based workflows that allow defenders to investigate, create, test, and improve security content using the tools they already trust.
- 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 improvements in analyst efficiency.
- Help establish appropriate 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 individual engagements into repeatable products, playbooks, and platform capabilities.
You Might Thrive in This Role If You
- Have experience building enterprise, developer, infrastructure, or cybersecurity products.
- Are excited by zero-to-one product development and comfortable working in areas where the product, market, and technology are still evolving.
- Understand how to move from a compelling technical capability to a product that users can depend on.
- Can work effectively with researchers, engineers, designers, security practitioners, and commercial teams.
- Have strong product judgment and can balance user value, technical feasibility, safety, and speed.
- Are comfortable working directly with customers and partners to learn, prototype, and iterate.
- Can make complex technical systems understandable without oversimplifying them.
- Care deeply about building products that are measurable, trustworthy, and useful in real operational environments.
- Are willing to operate at multiple levels,from product direction and roadmap discussions to detailed 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 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
In this role, you will help the team:
- Identify a small number of high-value defensive workflows where OpenAI models can create a meaningful advantage.
- Ship products that move beyond demonstrations and become part of how defenders work.
- Establish productive 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.
- 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.
- An example central measure of progress will be: Measured improvement in defensive outcomes per analyst-hour.