Why This Job is Featured on The SaaS Jobs
This Product Manager role sits at the intersection of SaaS product building and real-world security operations, focused on turning emerging AI capabilities into dependable workflows for defenders. Rather than positioning AI as a standalone security suite, the remit is oriented around an AI reasoning and workflow layer that connects into the tools security teams already run, which is a common pattern for modern enterprise SaaS adoption and integration-led distribution.
For a SaaS career, the role offers a rare blend of zero-to-one product shaping and operational feedback loops. The emphasis on measurable product quality such as accuracy, safety, adoption, and efficiency aligns with how AI-native SaaS products are increasingly evaluated in production. Experience translating complex technical capabilities into requirements, shipping iterations, and building integrations with platforms and partners is highly portable across enterprise SaaS, especially where trust, governance, and workflow fit determine retention.
This role is best suited to product leaders who like being close to practitioners and can navigate ambiguity without losing rigor. It will appeal to those comfortable collaborating across research, engineering, design, and go-to-market counterparts, and who enjoy defining what “good” looks like when product outcomes must be validated in realistic, high-stakes environments.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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. 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
The specific roadmap will continue to evolve based on model progress, practitioner needs, internal learnings, and customer feedback.
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.
This role will be part of a small, highly collaborative team. Product direction will be developed in close partnership with cyber leadership, security practitioners, research, engineering, and other product teams across OpenAI.
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 the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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