At a Glance
- Tasks: Lead the development of innovative AI products that transform accounting workflows.
- Company: Join a VC-backed AI company revolutionising FinTech with cutting-edge technology.
- Benefits: Competitive salary, equity options, and a flexible hybrid/remote work environment.
- Other info: Opportunity for significant ownership and career growth in an AI-native culture.
- Why this job: Be part of an elite team solving complex problems in AI and finance.
- Qualifications: 5-10 years in software engineering with strong Python and system design skills.
The predicted salary is between 120000 - 200000 £ per year.
A VC-backed AI company is rebuilding how accounting work gets done, using agentic workflows and AI automation to eliminate the high-volume operational work that has resisted meaningful automation for decades. Working with some of the world's largest accounting firms, they are building enterprise-grade AI systems on top of ERP platforms like SAP, NetSuite and Workday to automate complex financial workflows at scale.
They are looking for a Staff Product Engineer to own meaningful product surface area end-to-end across backend systems, AI workflows, infrastructure, and frontend applications where required. This is a highly product-focused engineering role for someone comfortable solving complex problems across the stack rather than operating within narrow boundaries.
Required experience:- 5-10 years building complex software products at scale
- Strong Python experience
- Strong system design and distributed systems experience
- Experience shipping production-grade software to enterprise customers
- Comfortable working across backend, frontend, infrastructure, and AI systems
- Strong product engineering mindset and ownership mentality
- Experience with AI tooling, LLMs, or agentic workflows
- FinTech, ERP, accounting, audit, or financial data experience strongly preferred
- Kubernetes, Go, Rust, TypeScript, or modern infrastructure experience beneficial
This is an opportunity to join a small, elite engineering team at an early stage and work directly alongside founders solving genuinely difficult technical and domain-specific problems. The company offers significant ownership, strong compensation, meaningful equity, and an AI-native engineering culture where AI-assisted development is actively encouraged and embedded into workflows.
The interview process includes an initial screen, technical deep-dive, take-home exercise, and final leadership conversations. To apply or discuss confidentially, reach out to Nathan Laidlaw at Transparent Technology.
Staff AI Product Engineer -Python - London in City of London employer: Transparent Technology
Join a pioneering VC-backed AI company in London that is transforming the accounting landscape through innovative AI automation and agentic workflows. As a Staff Product Engineer, you will be part of a dynamic and elite engineering team, enjoying a culture that fosters creativity and collaboration while offering significant ownership and competitive compensation, including equity. With opportunities for professional growth and the chance to work on cutting-edge technology alongside industry leaders, this role promises a rewarding and impactful career in the heart of FinTech.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI Product Engineer -Python - London in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and FinTech space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to Python, AI workflows, or distributed systems, make sure to highlight them during interviews. It’s all about demonstrating what you can do!
✨Tip Number 3
Prepare for those technical deep-dives! Brush up on your system design and be ready to discuss how you've tackled complex problems in the past. We want to see your thought process and how you approach challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Staff AI Product Engineer -Python - London in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python expertise, system design experience, and any work with AI workflows or FinTech. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with our needs. Be genuine and let us know what makes you tick in the world of AI and product engineering.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We love seeing real-world applications of your skills, especially if they involve complex software or AI systems.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows us you're keen to join our team!
How to prepare for a job interview at Transparent Technology
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the technologies mentioned in the job description, like distributed systems and AI workflows. Brush up on your knowledge of Kubernetes, Go, and any relevant frameworks to show you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems across the stack. Think about how you’ve approached challenges in previous roles, especially in FinTech or with enterprise software, and be ready to explain your thought process.
✨Understand the Company’s Vision
Research the company’s mission and their approach to AI in accounting. Being able to articulate how your skills align with their goals will demonstrate your genuine interest and help you stand out as a candidate who’s not just looking for any job, but this job.
✨Prepare for Technical Deep-Dives
Expect to dive deep into technical discussions during the interview. Practice explaining your past projects and the decisions you made, focusing on how they relate to building scalable software products. This is your chance to shine, so make it count!
