Live opening · Posted 9 hours ago

Head of AI Enablement & Engineering

Capital on Tap · London
Greenhouse
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At a glance

The key details from the original listing.

Posted 9 hours ago
CompanyCapital on Tap
LocationLondon
SkillsC#, .NET, Azure
SourceGreenhouse
ListedPosted 9 hours ago

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About the role

Description supplied by the original job listing.

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 | 💰Competitive Salary + Bonus Scheme + Benefits (listed below)
The Role🚀
Over the next 12 months, we want to triple our ability to build great products for our customers and become an AI-first business. Our CEO is personally sponsoring this as a company priority. We’re looking for someone to lead it for our Product and Engineering teams.
As Head of AI Engineering & Enablement, you'll own how Capital on Tap uses AI to design, build, test and ship software. You'll set AI strategy across Product and Engineering, lead a small, elite AI Enablement team, and work hand in hand with every product team to change how they work, not just which tools they use. You'll report to our CTO and work closely with our CEO.
What You’ll Be Doing 🗃️
Set the plan: In your first 30 days, baseline how fast and how well we build today. Then set out a 12-month plan to triple it, with clear measures the leadership team tracks.
Rebuild how we ship: Redesign our software delivery lifecycle around agentic AI, from spec through code, review, testing and release, and make it the default in every product team.
Own the AI engineering stack: Lead decisions on AI developer tooling, model access, AI gateway and evaluation, balancing capability, cost and vendor independence.
Move fast, safely: Partner with InfoSec, Data Protection, Risk and Compliance to set guardrails that let us move quickly in an FCA-regulated business.
Run the team: Lead our AI Enablement team to change how we build
What Success Looks Like in 12 Months 📅
We're delivering roughly three times the customer value per quarter, against the baseline you set
AI-native ways of working are the default in every product and engineering team, not a side project
Robust, auditable guardrails our risk and compliance teams trust
A team and playbook that keep compounding without you in the room
We’re Looking For 🔎
You've led an AI-driven transformation in how a product and engineering organisation builds software, with measurable results to show for it.
Deep, hands-on experience with agentic coding tools and LLM-based workflows. You still build platforms and systems, and you have strong opinions on where these tools work and where they don't.
You've built and led high-performing engineering teams on strong technical foundations. C#/.NET and Azure experience is a big plus
Bonus points for experience with introducing agentic AI into infrastructure, observability and data pipelines
Commercial judgement to think in cost, ROI and customer outcomes, plus experience in a regulated environment designing controls that enable rather than block
Our Values & Culture 🌞
Just Pilot: We never settle for “good enough”. We pilot new ideas fast, ask questions to figure it out, and scale quickly.
Why Not Today? Fast is as slow as we go - speed and simplicity gives us a competitive advantage.
Be a Buddy: We tap in from day one to help the team, we do the right thing even if it’s hard.
Owners and Dates: We don’t chase people. If you own a task and agree to a date, the expectation is that it gets done.
Feedback: We want our employees to flourish, so we regularly provide direct and constructive feedback.
Interview Process 🤝
Stage 1: 30min Video Call with Talent Partner
Stage 2: 45min Video Call, AI Transformation Walkthrough
Stage 3: 2hours On-Site, Case Study + Meet the CTO + Meet the CEO (if successful in the Case Study)
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 ta

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