Product Manager, AI Enablement, People Innovation Labs - openai

About the Team

People Innovation Labs is a fast-moving engineering team embedded in OpenAI’s People Team. We build the systems, products, and AI-native workflows that help OpenAI find, grow, support, and retain exceptional talent.

We work across recruiting, HR, culture, knowledge, performance, and employee experience to rethink how the People Team should operate in the age of AI. Some of what we build are durable internal products; some begin as prototypes, automations, workflows, or experiments with the potential to become software products over time.

About the Role

We’re looking for a Product Manager focused on AI enablement, prototyping, and product discovery within the People Team. This person will act as a forward deployed PM for People Innovation Labs: embedded with OpenAI’s People Team, close to the work, and responsible for finding the highest-leverage opportunities where AI can meaningfully improve how OpenAI operates.

You’ll partner with subject matter experts within the People Team to identify pain points, prototype new AI-powered workflows, help colleagues adopt emerging tools, and determine which ideas should remain lightweight enablement versus graduate into durable products built and maintained by PIL engineering.

The role

sits at the intersection of product, AI enablement, internal operations, and hands-on exploration.

This is ideal for someone who is builder-minded, highly trusted by operators, comfortable in ambiguous problem spaces, and able to move fluidly from “let’s try this today” to “this should become a real product.”

In this role, you will

• Act as the product lead embedded within the People Team, helping identify, prototype, and scale high-impact AI use cases across recruiting, HR, culture, talent, and company-wide operations.
• Partner closely with People Team subject matter experts to understand workflows in depth, uncover friction, and translate operational needs into AI-native solutions.
• Build, test, or shape lightweight prototypes using OpenAI tools, internal systems, no-code/low-code workflows, agents, automations, or other fast experimentation methods.
• Help the People Team adopt and use AI effectively, including developing patterns, playbooks, examples, and lightweight enablement materials.
• Identify which prototypes, workflows, or repeated pain points should become durable software products owned by PIL engineering.
• Translate successful explorations into clear product briefs,

requirements

, success criteria, and handoff plans for engineering and design.

• Work with PIL engineers to evaluate technical feasibility, sequence investments, and make pragmatic tradeoffs between speed, quality, privacy, security, and maintainability.