At a Glance
- Tasks: Lead the transformation of engineering processes and platform architecture.
- Company: xpate, a dynamic fintech company with a focus on innovation.
- Benefits: Competitive salary, shadow equity, and direct collaboration with founders.
- Other info: Opportunity for career growth in an AI-native environment.
- Why this job: Shape the future of finance with cutting-edge technology and a talented team.
- Qualifications: Experience in building financial systems and strong data architecture skills.
The predicted salary is between 81000 - 99000 £ per year.
About xpate
xpate has been a card acquirer since 2019. It combines acquiring and banking for B2B clients only, with €100M+ in annual revenue. About 100 people work there, around 15 of them in engineering. HQ is in London, and the team is spread across Latvia, Cyprus, Serbia and Singapore. The business is changing. xpate is moving from direct sales to distribution through platforms and partners: embedded finance and Payfac-as-a-Service. The platform has to change with it. Tooling, data flow, processes and the release cycle all need a rebuild, and much of the workflow is still tracked by hand. xpate also wants to become AI-native. Guardrails go around the core – the data layer and financial data – so it can’t be lost, rewritten or broken. Everything else runs through an agentic harness on top, so non-engineering teams can build their own tools by prompting agents.
What you will do
- Lead the platform and organizational transformation from the inside, together with the current team.
- Own the whole technical picture: infrastructure, architecture and vendors.
- Replace the traditional PM → engineer handoff.
- Test the idea that engineering and product can work as one, with engineers talking directly to the business and domain experts.
- Move code writing to LLMs with automated QA.
- Start where mistakes are cheap and reach the critical financial components later.
- Hire engineers who talk to people and ask questions, not only write code.
- Focus on internal efficiency. The business sets the direction – the job is not to set a product or market vision of your own.
First 6 months
- Months 1–3: bring all data flow – customer, financial and manual – into one clear perimeter.
- Months 4–6: build the harness on top, so non-engineering teams can prompt agents, create their own tools and run their workflows.
What you need to succeed
- You have built financial systems: ledger, reconciliation, processing, gateway, double-entry accounting. Ideally you wrote them yourself, and you know what a few cents of error cost at scale.
- You have a strong data architecture background.
- You can hold the full technical picture: infrastructure, architecture and vendors.
- You are a senior engineer with proven results. Team size doesn’t matter – leading 4–5 people is fine.
- You know code quality and review still matter, and you are ready to change how the work gets done.
- You think and talk like a business person.
- You are a mature operator: collaborative, transparent, no “I know best”.
- You change things carefully and still make bold calls.
- Payments or acquiring background is not required – any financial systems experience works.
Nice to have:
- You have rebuilt or transformed a team before.
- You are based in London.
What you get
- A new role with a clear mission: transform the platform and the way the company works.
- Direct work with the founders, reporting to the CEO.
- A team of about 15 engineers to inherit and reshape.
- A profitable company moving into Payfac-as-a-Service and embedded distribution.
- An AI-native setup where non-engineers build their own tools.
- Year 1 is fixed pay. From year 2, shadow equity tied to P&L performance, with a path to real equity. Details to be agreed.
This overview was written from the original listing to help you understand the role. Always confirm the specifics on the employer’s application page.
Head of Engineering | xpate arbeitnow Hirehire Remote · 11/3/2026 employer: Primetime
OpenAI is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented professionals. As a Codex AI Engineer, you will have access to unparalleled growth opportunities, working alongside industry leaders in a cutting-edge environment that prioritises employee development and meaningful contributions to AI technology. Located in a vibrant tech hub, OpenAI provides unique advantages such as flexible working arrangements and a commitment to work-life balance, making it an ideal place for those seeking a rewarding career in AI.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Engineering | xpate arbeitnow Hirehire Remote · 11/3/2026
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Primetime or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Primetime.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Primetime.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Head of Engineering | xpate arbeitnow Hirehire Remote · 11/3/2026
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Primetime.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Primetime and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Primetime
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Primetime uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.