Product Manager, IT
Listed on 2025-11-14
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IT/Tech
Systems Engineer, Cybersecurity, Cloud Computing, IT Support
The IT organization is a cohesive team that improves security, productivity, and user experience for everyone build and operate the technology foundation that enables every employee to work securely, efficiently, and with high velocity from day one, helping OpenAI remain the most secure and productive AI lab in the world. Our work spans building and maintaining reliable networks, identity and access systems, secure client platforms, and intuitive automation and self‑service tools.
We also support the full employee journey through smooth onboarding, well‑managed hardware and logistics, and responsive global support. As OpenAI grows, we design the technology that powers our offices and keeps collaboration seamless across locations. Through strong security, scale, and simplicity, we enable teams to do their best work.
As a Product Manager, you will lead vision, strategy, and execution for internal systems and platforms that enable secure, reliable, and efficient operations. You will translate technical and operational needs into clear product roadmaps, working closely with IT, engineering, and security to build scalable, intuitive, and resilient products that remove friction and improve productivity across the company.
You are systems‑minded, pragmatic and iterative. You thrive in ambiguity, move quickly with good judgment, and learn through iteration and usage data. You understand how internal systems fit together end‑to‑end and design solutions that balance usability, scale, and security.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:Set direction and drive alignment
- Define and evolve product vision and roadmaps for core internal systems and platforms
- Ensure tools enable productivity, scale securely, and deliver a seamless employee experience
- Align priorities across IT, engineering, security, workplace and operational teams
- Translate operational workflows and technical constraints into clear product requirements
- Partner with engineering, security, and IT teams to ship reliable, well‑designed systems
- Use OpenAI models and existing internal capabilities to simplify processes, reduce toil, and increase autonomy and efficiency
- Validate impact in production, and scale improvements over time
- Define success metrics and measure user experience, operational efficiency, and system reliability
- Use data, telemetry, usage insights, and feedback loops to drive prioritization and continuous improvement
- Deliver measurable reductions in friction and support effort
- Develop deep understanding of identity, access, onboarding, endpoint, and network systems
- Understand systems end‑to‑end, from identity and access to endpoints and network surfaces
- Serve as a voice of the user, balancing usability, scale, reliability, and security requirements
- Have 10+ years of product management or closely related experience, including leading complex, cross‑functional products or platforms in high‑growth or enterprise environments.
- Have a strong record of driving product strategy and execution for complex internal systems and applications, taking products from 0 to 1 and scaling from 1 to 10.
- Bring systems thinking and technical depth to partner with IT, platform engineering, and security.
- Lead with clarity and curiosity, guide autonomous teams, bring focus in ambiguity, define measurable outcomes, and iterate based on user feedback and data.
- Have a software engineering background with an understanding of modern architectures, APIs, Python, and front‑end frameworks such as React, enabling close collaboration with engineering teams.
- Thrive in fast‑changing environments where secure, reliable, and intuitive systems power people’s ability to do their best work.
- Are excited to build on OpenAI models and internal agentic platforms, and to use our own technology to improve how we operate.
- Experience applying AI and agentic technologies to build intelligent systems that automate workflows, improve reliability, and enhance…
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