Principal Product Manager – Agentic AI Platform

About this role

About Us

Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.

Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.

The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.

At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.

About This Position:

As a Principal Product Manager for Agentic AI Platform at G-P, you will play a pivotal role in shaping our Agentic AI strategy and driving the success of platform capabilities that enable AI-powered experiences across our products and operations. You will work at the intersection of AI, platform services, developer experience, security, data, and enterprise SaaS.

You will be expected to define how agents, tools, APIs, workflows, evaluation frameworks, permissions, and governance models come together to create reliable, secure, and scalable AI capabilities. This is a platform product role with a strong AI focus. The ideal candidate has deep platform product management experience, strong curiosity about AI, and the ability to translate emerging technology into practical product outcomes.

What you will do:

• Lead the end-to-end lifecycle of Agentic AI platform capabilities, from strategy and discovery to roadmap, execution, launch, adoption, and continuous improvement.

• Define and drive key AI platform capabilities, including agents, tools, action interfaces, API integrations, orchestration patterns, evaluation frameworks, observability, guardrails, and human-in-the-loop workflows.

• Partner with engineering, data, security, and product teams to build scalable AI-powered capabilities using cloud-native, SaaS, microservices, serverless, and event-driven architectures.

• Own the product strategy for how agents answer questions, assist users, take actions, access data, use tools, and safely interact with business systems.

• Work with business product teams to identify and prioritize high-value agentic use cases across customer experience, professional experience, reporting, onboarding, compliance, support, and internal operations.

• Drive a platform approach for AI by creating reusable patterns, shared capabilities, clear standards, and developer-friendly interfaces that can be adopted across multiple teams and products.

• Define AI quality and evaluation requirements, including golden datasets, test cases, pass/fail criteria, trace reviews, regression testing, and production…