Product Manager, AI Enablement, People Innovation Labs

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. - Maintain a portfolio view of AI enablement opportunities within the People Team, distinguishing between experiments, one-off tools, scalable workflows, and product candidates. - Build trusted relationships with People Team leaders, operators, and technical partners, serving as connective tissue between frontline needs and product strategy. - Define success metrics for prototypes and launched products, including adoption, time saved, workflow quality, user satisfaction, and operational impact. - Bring learnings from People Team workflows back into PIL’s broader product roadmap and, where relevant, into OpenAI’s understanding of how AI changes knowledge work. You might thrive in this role if you - Have 5+ years of experience in product management, technical product strategy, founder/operator roles, AI enablement, solutions/product lead roles, or similar work that combines product judgment with hands-on execution. - Are energized by ambiguous, high-context environments where the right answer may start as a scrappy prototype before becoming a roadmap item. - Have strong product instincts and can tell the difference between a useful one-off workflow, a scalable internal pattern, and a product worth engineering investment. - Are highly credible with both technical and non-technical audiences, including engineers, People Team leaders, operators, and subject matter experts. - Are builder-minded and comfortable getting hands-on with AI tools, agents, automations, prompts, lightweight integrations, or prototypes to unblock learning. - Communicate clearly and crisply, whether writing a product brief, synthesizing user research, documenting a prototype, or aligning stakeholders on a decision. - Can quickly understand complex operational workflows and translate them into simple, useful product concepts. - Use both qualitative insight and data to evaluate whether an AI-enabled workflow is actually improving quality, speed, consistency, or user experience. - Have a strong bias toward action while knowing when to slow down for privacy, security, reliability, or organizational change management. - Are curious about how the People function works and excited to help define what world-class talent systems look like when powered by frontier AI.

5+ years of experience in product management, technical product strategy, founder/operator roles, AI enablement, solutions/product lead roles, or similar work that combines product judgment with hands-on execution.

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. Maintain a portfolio view of AI enablement opportunities within the People Team, distinguishing between experiments, one-off tools, scalable workflows, and product candidates. Build trusted relationships with People Team leaders, operators, and technical partners, serving as connective tissue between frontline needs and product strategy. Define success metrics for prototypes and launched products, including adoption, time saved, workflow quality, user satisfaction, and operational impact. Bring learnings from People Team workflows back into PIL’s broader product roadmap and, where relevant, into OpenAI’s understanding of how AI changes knowledge work.