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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Commercial AI Solutions Specialist - **Company:** Checkout.com - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Visualization, Cursor (Graphical User Interface Elements), Software Debugging, Programming Tools, SQL Databases, Application Enhancement Tool, Generative AI, No-code Tools, Low-code, Automation Anywhere - **Published:** September 28, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=85490a8a458ae6f9 ## About the Role * 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. ## Description 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. ## Related Videos - [Reimagining app development with Low-code and AI](https://www.wearedevelopers.com/videos/1651-reimagining-app-development-with-low-code-and-ai) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Rethinking Customer Experience in the Age of AI](https://www.wearedevelopers.com/videos/1692-rethinking-customer-experience-in-the-age-of-ai) - [What If Apps Built Themselves? 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