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Commercial AI Solutions Specialist

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Checkout.com
Full Time position
Listed on 2026-10-18
Job specializations:
  • Business
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Company Description

. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.

We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.

Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.

If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.

With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.

About

The Role

Build AI workflows that Commercial teams actually use and prove the impact. We are looking for a Commercial AI Solutions Specialist to turn high-value Commercial problems into practical, adopted AI workflows.

You will own use cases end to end: discovering problems, assessing and prioritising opportunities, rapidly prototyping solutions, supporting deployment, driving adoption, and measuring business impact. This is a hands‑on role for someone who combines curiosity, structured problem‑solving, and strong delivery ownership.

You do not need deep expertise in every AI tool or in payments. We do expect evidence that you have learned a new domain quickly, independently built and shipped at least one useful workflow, and translated an ambiguous business problem into a measurable outcome.

What early success looks like

During the first 90 days, you will build a strong understanding of Commercial priorities and workflows, develop a credible pipeline of use cases, and deliver practical quick wins. You will also establish the foundations for measuring adoption, productivity, and commercial impact as the portfolio develops.

By day 90: two workflows live with real Commercial users, each with a named business owner, a measured before/after delta against a pre‑build baseline, and sustained weekly active use.

What you will do
  • Partner with Commercial teams and Revenue Operations to identify workflow pain points and high‑value automation and AI augmentation opportunities.
  • Investigate problems, map current processes, establish an evidence‑based baseline, and define clear use‑case outcomes.
  • Build, test, and rapidly iterate on prototypes using AI‑assisted coding tools, automation, and low‑code or no‑code platforms.
  • Take approved use cases from discovery through deployment, adoption, and impact measurement.
  • Design pragmatic human‑in‑the‑loop workflows, controls, and feedback mechanisms.
  • Coordinate with relevant technical, data, security, and risk partners when a solution requires platform support or formal approval.
  • Support the enablement of end users through clear documentation, demonstrations, training, and ongoing iteration.
  • Maintain visibility of progress, dependencies, risks, adoption, and realised impact.
What we are looking for
  • Evidence of having built and shipped at least one useful workflow, automation, AI‑powered tool, or prototype that real users used in practice.
  • Evidence of rapidly learning a new domain or capability and independently delivering a measurable business outcome.
  • Experience owning work from an ambiguous problem through to an implemented solution.
  • Strong analytical and data literacy, including the ability to interpret data, establish baselines, and evaluate outcomes.
  • Hands‑on experience building useful workflows, automations, or prototypes using low‑code or no‑code platforms,…
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