AI Specialist
Capital on Tap
Salary undisclosed
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Description
We’re Capital on Tap 👋
💳 Capital on Tap started because small businesses were underserved. Big banks were slow, their products weren't fit for purpose, and small business owners often couldn't access what they needed. We set out to fix that.
Today we're a financial platform - not just a credit card company. We offer a best-in-class business credit card, SME-focused spend management platform, a savings product that hit £1 billion in funds within its first year, and a growing suite of tools and financial products that make running a small business easier.
1,000+ employees, £20bn in annual card spend, 200,000+ customers, 17,000+ Trustpilot reviews averaging 4.7 stars, and we're profitable. We’ve done a pretty good job so far, but we’re just getting started!
📍 London (Moorgate) | 🏢 3 Days in Office
The Role
Most companies talk about AI. We're building the infrastructure to make it stick. This role exists to close the gap between AI's potential and what our teams actually use every day.
You'll embed with a team, find the highest-impact opportunities, build the tools that solve them, and train the team to run them long after you've moved on. This isn't a research or strategy role. You'll be shipping automations, MCPs, plugins, agentic workflows, and the training that goes with them. You'll be measured on impact and weekly active users, not on launches or tools rolled out. If you'd rather be doing than advising, this is for you.
What You’ll Be Doing
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Analyse where AI can move the needle most. Map a team's processes end-to-end before proposing a single tool, and prioritise the workflows where AI can take real cost, time, or rework off the table.
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Build the right stack for the problem - production-grade agentic workflows that bridge LLMs, internal APIs, and case management tools, plus MCPs, Claude skills and plugins, n8n automations, and integrations with internal systems. You build it, debug it in production, and iterate live with users sitting next to you.
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Train the people who'll use it. Run hands-on sessions, write documentation people actually read, and coach AI champions inside every team you work with so they're self-sufficient before you move on.
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Roll out and measure. Active automations running unsupervised matter more than trainings delivered or pilots launched. Track weekly active AI users and impact per team, intervene when usage drops, and keep iterating until AI is part of how the team works.
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Maintain Capital on Tap's AI playbook. Document repeatable patterns, package them as reusable skills and templates, and make every engagement start faster than the last.
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Partner with senior stakeholders to decide where to point next, and what good looks like before you start.
We’re Looking For
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Deployed AI tools in environments where downtime, errors, or rework have real cost - not sandbox experimentation.
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Hands-on, proven experience with Claude, Cursor, n8n, Zapier, or similar in a real business context.
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Technical fluency across low-code/no-code tools, APIs, MCPs, and integrations; comfortable in SQL and familiar with BI tooling.
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2-5 years in product ops, operations, strategy, technical programme management, internal consulting, or a similar hands-on role.
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Strong communicator. You can run a workshop that lands, write documentation people actually read, and translate jargon for any audience.
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Comfortable with ambiguity. You diagnose fast, prioritise ruthlessly, and ship a working v1 inside a week even when the team you're working with isn't yet sure what they want.
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High ownership. You figure out what needs doing and do it, without waiting to be told.
Even if you don’t have all of the necessary skills, we still encourage you to apply.
Diversity & Inclusion 🌈
We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.
Great Work Deserves Great Perks
We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure.
Check out our benefits:
🏥 Private Healthcare including dental and opticians services through Vitality
✈️ Worldwide travel insurance through Vitality
❤️ Access to a reproductive and hormonal health platform via Hertility
🎁 Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical)
👛 Salary Sacrifice Pension Scheme up to 7% match
🚘 Octopus EV Salary Sacrifice Scheme
🏖️ 28 days holiday (plus bank holidays)
📖 Annual Learning and Wellbeing Budget
👪 Enhanced Parental Leave
🚲 Cycle to Work Scheme
🚂 Season Ticket Loan
💬 6 free therapy sessions per year
🐶 Dog Friendly Offices
🍫 Free drinks and snacks in our offices
Check out more of our benefits, values and mission here.
Other Info
👍Check out our ‘Top Tips’ for interviewing.
✔️Keep updated on new job opportunities by following us on Linkedin.
📧Email careers@capitalontap.com if you have any questions.
Excited to work here? Apply!
If you’d like to progress your career within our fast growing, profitable fintech then click apply and we will aim to get back to you within 3 working days (during busy periods this could take up to 5 working days.)
Benefits
- parental leave
About this role
Capital on Tap is building real AI infrastructure across its fintech operations, and this role sits at the centre of that effort. You'd work embedded with individual teams to identify where AI can genuinely reduce cost, time, or rework—then ship the automations, agentic workflows, and integrations that actually stick. This isn't strategy or research; you're measured on weekly active users and measurable impact, not on tools launched or pilots completed.
The work spans the full cycle: mapping processes end-to-end, building production-grade solutions using Claude, n8n, MCPs, and internal APIs, training teams to run them independently, and maintaining a playbook of repeatable patterns for faster future rollouts. You'll debug in production, iterate live with users beside you, and diagnose what's working or not each week. The role demands hands-on experience deploying AI in real business contexts where failures have genuine consequences, technical fluency across low-code and API integration, and the ability to communicate clearly with any audience. You'll need 2–5 years in product ops, operations, or similar roles, comfort with ambiguity, and the ownership to ship a working version in a week even when requirements aren't yet clear.
This suits someone who'd rather build than advise, who can move fast in uncertain conditions, and who finds satisfaction in embedding knowledge with teams so they become self-sufficient. The role is based in London (Moorgate, three days in office) and comes with standard fintech benefits including private healthcare, 28 days holiday, and a learning budget.
How this employer is doing
solid
- Recently Raised Funding
This role's local market on JobMinglr
Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable AI Specialist postings in London, and analyze any offer before you accept it.
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