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Product Operations Lead, AI

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Xelix
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 70000 - 95000 GBP Yearly GBP 70000.00 95000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

About us

At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows.

Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together.

In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you.

About the Role

AI has made writing software faster. Now we need to transform the way we build product around it: how we decide, prioritise, learn from customers, align teams and launch features. We’re looking for someone to redesign that operating system at Xelix: the data teams trust, the customer feedback pipeline, and the ways of working that help Product, Design and Engineering move faster without losing quality.

This is our first dedicated Product Operations Lead role, built for someone who wants to build the infrastructure of AI-native product development, not just manage the process around it.

Today, too much of the information we need is scattered across tools and rebuilt by hand. This role exists to make high-quality product decisions cheaper and faster. You will do that by automating the operational work with AI, and by giving our Trios (PM, Tech Lead and Designer) a reliable, self-serve view of what is happening.

Two things make this role different from product operations two years ago. The first is that you are expected to automate your own function. Most of the coordination, collation and reporting that product ops historically absorbed should be done by software, and building that software is the job. The second is that our teams are changing how they build, and you will own and support that change for the Trios and Squads.

This is a build role. You will report to the VP of Product and work alongside Engineering, AI Engineering, Design, Services and Product Management.

This role is about being at the cutting edge of how AI-native products are developed and the teams that build them.

What you'll be doing
1. Craft: how our teams build
  • Turn spec-driven working into a documented, taught and measured practice across PM, Design and Tech.

  • Build and maintain the agent and skills library. Discovery, design, specification/requirements, launch, measure and learn. Most of these should now be skills and agents that teams invoke, not documents created and forgotten.

  • Own the tooling our teams work in as a portfolio:
    Notion, Shortcut, Metabase, Gong and the AI harness layer we build agents on. Selection, integration, access, licences and cost, and retiring what stops earning its place.

  • Partner with Engineering leaders in redefining the PDLC and SDLC, ensuring that Product and Design aren’t the bottlenecks in the new agentic development process.

  • Train and support Trios in adoption and evolution of the PDLC and SDLC.

2. Customer and market insights
  • Design one pipeline for customer evidence. Today it reaches us through several routes: sales and customer calls, support tickets, services during implementation, account managers after go-live. Consolidate the collection, classification and routing.

  • The goal is that feedback is collated and summarised through automation. Your job is to build that system, evaluate it, and own the quality of what comes out of it.

  • Elevate the pipeline…

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