Level

Checkout.com

Commercial AI Solutions Specialist

Checkout.com is hiring a Commercial AI Solutions Specialist in London, United Kingdom. Level rates it ; you can apply on Level.

AI in this role

Build and deploy practical AI workflows and automation solutions for commercial business teams.

claudecursorclaude-codecodex
ai-agentsproblem-solvingworkflow-automationchange-managementstakeholder-management

Company Description

We’re Checkout.com. 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, automation tools, or AI-assisted coding tools.

  • Structured problem-solving skills and the judgement to distinguish valuable use cases from attractive distractions.

  • Strong stakeholder management and communication skills, with the ability to influence without formal authority.

  • A bias toward action, experimentation, and iteration, balanced with appropriate attention to risk and governance.

  • The ability to work independently while escalating material decisions and dependencies appropriately.

Desirable experience

You are not expected to have every item below. These are examples of experience that may help you succeed in the role; we will assess evidence of learning agility, delivery, and judgement over checklist matching.

  • Experience in a Commercial, go-to-market, Revenue Operations, payments, fintech, or other regulated-industry environment.

  • Familiarity with generative AI, agentic workflows, APIs, workflow automation, data visualisation, or prompt and evaluation techniques.

  • Experience explaining a new workflow, gathering user feedback, and supporting adoption across stakeholders.

  • Hands-on experience building AI-powered tools, agents, or automations that other people used in their real work.

  • Familiarity with agentic development tools, APIs, and SQL; named tools such as Claude Code, Cursor, and Codex are examples rather than requirements.

  • You can read code, understand logic, and steer and debug an agentic coding tool.

Additional Information

Bring all of you to work

We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.

Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.

We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.

It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.

Life at Checkout.com

We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.

Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.

For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram

How we rate this

Commercial AI Solutions Specialist at Checkout.com rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsProblem SolvingWorkflow AutomationChange ManagementStakeholder ManagementClaudeCursorClaude Code

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where problem solving was part of your work. What did you do?
  3. Tell me about a project where workflow automation was part of your work. What did you do?
  4. Tell me about a project where change management was part of your work. What did you do?
  5. Tell me about a project where stakeholder management was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Problem Solving, Workflow Automation, Change Management, and Stakeholder Management. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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