Product Manager, IT

Responsibilities

• 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 IT service management, support automation, and employee-facing internal tools across the OpenAI ecosystem.
• Understand systems end-to-end to develop a strong systems level point of view.
• Serve as a voice of the user, balancing usability, scale, reliability, security, and compliance requirements.

Requirements

• 8+ years of product management experience, ideally including internal tools, enterprise software, platform, or operations-focused product work.
• 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.
• Ability to translate complex operational workflows and technical constraints into clear customer value and align diverse stakeholders toward a shared vision.
• Thrive in fast-changing environments where secure, reliable, and intuitive systems power people’s ability to do their best work.
• Excited to build on OpenAI models and internal agentic platforms, and to use our own technology to improve how we operate.

Nice-to-Haves

• Experience applying AI and agentic technologies to build intelligent systems that automate workflows, improve reliability, and enhance the employee experience.
• Working knowledge of ITSM, employee support, enterprise SaaS, automation, or infrastructure domains, and how they integrate through APIs and shared platform services.