Global AI Product Manager - Enterprise Deployment

• Sit at the intersection of engineering, product, and client delivery - owning the end-to-end implementation of our platform for our most complex and strategic enterprise accounts, from onboarding through to live deployment - including visiting clients on-site, with the opportunity for global travel as we scale internationally.
• Lead enterprise engagements independently. This involves configuring GAP and Navigator products for deployment, building implementation plans and pitch decks, running UAT, and handling support queries.
• Own and lead product development projects end to end alongside engineering and design from client requirements to shipped product and be accountable for the outcomes.
• Design and refine AI evaluation frameworks, engineer prompts across our product suite, and track product analytics on live production data.
• Build internal agentic AI workflows that automate lengthy or manual processes - org-wide Claude, skills, and custom Slack workflows - and set the direction on internal tooling as its complexity grows.
• Get hands-on with cutting-edge tools like Claude Code, Cowork, Cursor, and custom MCP integrations, with the freedom to explore new AI tooling that drives product innovation - setting the standard for AI tooling across the team. As these tools evolve, the line between engineering, product, and design will blur - we want you to be at the frontier of that shift.
• Gather first-hand insight from both benefits administrators and employees at global enterprises, and feed that directly back into the product to shape what we build next.
• Work closely with our Chief Product Officer, Co-founder, AI Product Lead, engineers, and Product Associates at every stage of development - bridging the gap between what customers need and what gets built.

Requirements

• Academic Excellence: You have an exceptional academic track record from a top Russell Group university with strong A-levels. A STEM degree is desirable but not essential.
• AI Passion and Fluency: You have a genuine, intense interest in AI and are fluent in AI tooling (Claude Code/Cowork, Cursor, Codex etc) - setting the standard for others. You'll be asked to share your latest AI projects and explain how you stay on the cutting edge, as this is vitally important to the role. GitHub and CI/CD competence is a nice-to-have.
• Experience: You have 2+ years of experience in a product, technical, or technology role, ideally with client-facing experience in a technical capacity. Prior entrepreneurial experience is highly valued.
• Track Record of High Performance: You can show evidence of reaching the top of something demanding - elite or competitive sport, music, gaming, unusually fast promotion, or national or international academic awards.
• Continuous Learner: You have a voracious appetite for knowledge.

ATS Optimization Keywords
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Hard Skills

• Product Development
• Implementation Planning
• Data Analytics
• UAT Management
• AI Evaluation Frameworks
• Automation Workflows
• GitHub Competence
• CI/CD Knowledge

Soft Skills

• Continuous Learner
• Strong Communication
• Team Collaboration