Product Manager – AI Product Engineering

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.

• 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.

• 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.

• 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.

• Track product adoption, usage, user friction, defects, release outcomes, and operational impact.
• Build and maintain lightweight dashboards, recurring reports, and product health views.
• Synthesize input from users, support channels, usage data, QA findings, and stakeholder feedback to recommend product improvements.
• Support quarterly and sprint‑level planning by bringing structured insights on product performance, adoption gaps, and user pain points.

• Coordinate across Product, Engineering, QA, UX, Client Services, Operations, Compliance, and other stakeholder groups.
• Communicate product updates, known issues, release timelines, and training needs clearly to internal teams.
• Help ensure feedback is gathered before and after delivery, and that product decisions are grounded in user needs, business impact, and operational realities.

• 2–4+ years of experience in Product Management, Product Operations, Business Analysis, or Workflow Automation roles.
• Strong ability to translate ambiguous business problems into clear requirements, user stories, acceptance criteria, and delivery plans.
• Comfort working with engineering, QA, UX, and business stakeholders in an agile environment.
• Strong communication skills, verbal & written, including product documentation, release notes, training material, and stakeholder updates.
• Analytical mindset with experience using product metrics, dashboards, user feedback, and operational data to guide product decisions.
• Familiarity with AI products, LLM‑powered workflows, recommendation systems, human‑in‑the‑loop design, or…