Product Manager – AI Product Engineering at Guidepoint

Overview:

We are looking for a Product Manager to support the build, rollout, adoption, and continuous improvement of AI-powered products used across Guidepoint’s expert-network operations.

This role sits at the intersection of product management, product operations, workflow automation, AI adoption, and internal tools. The ideal candidate is a hands-on problem solver who can work closely with users, engineering, QA, design, operations, and leadership to turn high-friction workflows into reliable, scalable product systems.

The Product Manager will support a portfolio of mature and emerging initiatives by writing clear requirements, managing user feedback, looking at adoption, usage data & analytics, triaging issues, supporting UAT and helping teams make data-driven product improvements. This role is especially important as Guidepoint expands its use of AI, automation, and human-in-the-loop workflows across complex operational processes.

What You’ll Do:

Product Delivery & Execution

• Partner with engineering, QA, UX, and business stakeholders to support timely and high-quality delivery of product improvements.
• Participate in sprint planning, backlog refinement, UAT, release readiness, and post-release review.
• Help ensure features are tested against real user workflows, edge cases, business rules, and operational expectations.
• Support rollout planning, user onboarding, training, and adoption follow-ups for new and existing product capabilities.

Product Operations & Workflow Support

• Act as a day-to-day product contact for users
• Triage bug reports, user questions, change requests, and product feedback.
• Translate recurring themes into clear product requirements, tickets, acceptance criteria, and follow-up actions.
• Maintain strong product hygiene across Jira, Confluence, release notes, user documentation, and training materials.

AI Workflows & Tools

• Work with product and engineering teams to ensure AI-driven features are usable, measurable, and aligned with real business workflows.
• Help identify where automation is working well, where users are intervening, and where product improvements are needed.

Metrics, Adoption & Continuous Improvement

• Track product adoption, usage, user friction, defects, release outcomes, and operational impact.
• Build and maintain lightweight das

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