Product Manager – AI Product Engineering

Guidepoint; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Medical coverage through BUPA

Professional development opportunities

Supportive culture that celebrates and

Monthly Happy Hour

Volunteer days

Team building events

Job summary

Guidepoint is seeking a hands-on Product Manager to drive AI-powered product workflows within expert-network operations. You will partner with engineering, QA, UX, and business teams to deliver improvements, manage adoption, and ensure UAT and rollout readiness.

You will translate user feedback into clear requirements, maintain product hygiene in Jira/Confluence, and build lightweight dashboards to track usage and impact. Experience with AI/machine learning workflows is highly valued.

Qualifications

• 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 automation products is strongly preferred.

Responsibilities

• 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.
• 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.

Skills

Product Management

AI products

Agile

Stakeholder management

Tools

Jira

Confluence

Job description

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 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.

Cross‑Functional Communication

• 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.

What You Have:

• 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 automation products is strongly preferred.

What We Offer:

• Competitive salary, bonus and benefits
• Excellent medical coverage through BUPA
• Excellent professional development opportunities
• Supportive culture that celebrates and rewards success
• Monthly Happy Hour, Social Events, Summer Fridays
• Year‑round company sponsored sports and team building events
• Informal work environment
• Employee Assistance Programs
• Volunteer days

About Guidepoint:

Guidepoint powers end‑to‑end research workflows for the world’s best research teams.

Backed by a global network of more than 2 million experts and over 1,600 employees, Guidepoint delivers real‑time access to expertise, primary research, and actionable knowledge that help organizations make informed decisions. Through consultations, surveys, events, proprietary content, and AI‑enabled tools, we support every stage of the decision‑making process—from developing hypotheses and gathering insights to validating assumptions and building conviction for critical decisions.

At Guidepoint, our success relies on the diversity of our employees, experts, and clients, which enables us to foster meaningful connections and a broad range of perspectives. We are committed to creating an inclusive and welcoming environment where individuals of all backgrounds, identities, and experiences can contribute and succeed.