At a Glance
- Tasks: Own features end-to-end across backend, AI, infrastructure, and frontend using Python.
- Company: Fast-growing AI startup revolutionising enterprise accounting workflows.
- Benefits: $150K–$250K salary plus equity, with hybrid or remote work options.
- Other info: Startup environment with opportunities for growth and innovation.
- Why this job: Join a dynamic team and shape the future of AI in accounting.
- Qualifications: Strong Python skills and experience with scalable production systems required.
The predicted salary is between 120000 - 200000 £ per year.
Fast-growing AI startup building automation workflows for enterprise accounting teams is looking for a strong full-stack product engineer to join the team. You’ll own features end-to-end across backend, AI, infrastructure, and frontend, with Python as the core stack. The role involves working with complex financial systems, ERP integrations (SAP, Workday, etc.), distributed systems, and AI-powered workflows used by major accounting firms.
Requirements:
- Strong backend engineering skills in Python
- Experience building scalable production systems
- Startup experience strongly preferred
- Degree in Computer Science or a related field is required
- Product-minded engineer comfortable working across the stack
- Interest in AI-native products and agentic workflows
Hybrid in London preferred, but remote across the UK is possible. Visa sponsorship unavailable.
Staff Product Engineer in London employer: Radley James
Join a fast-growing AI startup that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the development of cutting-edge automation workflows for enterprise accounting teams. With competitive compensation, equity options, and opportunities for professional growth, this role provides a unique chance to work on complex financial systems in a supportive environment that encourages creativity and technical excellence, whether you choose to work hybrid in London or remotely across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Product Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in AI or product engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and scalable systems. This is your chance to demonstrate your expertise in building automation workflows and working with complex financial systems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of AI-native products. Be ready to discuss how you’ve tackled challenges in previous roles, particularly in startup environments.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented engineers who are passionate about building innovative solutions. Your next big opportunity could be just a click away!
We think you need these skills to ace Staff Product Engineer in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong backend engineering skills in Python. We want to see how you've built scalable production systems in the past, so don’t hold back on those details!
Tailor Your Application:When applying, tailor your application to reflect your experience with complex financial systems and ERP integrations. We love seeing candidates who understand the nuances of our industry!
Be Product-Minded:Since we’re looking for a product-minded engineer, share examples of how you’ve contributed to product development in previous roles. Show us your passion for AI-native products and agentic workflows!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Radley James
✨Know Your Tech Stack
Make sure you’re well-versed in Python and any other technologies mentioned in the job description. Brush up on your backend engineering skills and be ready to discuss how you've built scalable production systems in the past.
✨Showcase Your Product Mindset
Prepare examples of how you've approached product development from a user-centric perspective. Be ready to discuss how you’ve contributed to features end-to-end, especially in relation to AI-native products and workflows.
✨Understand Financial Systems
Since the role involves working with complex financial systems and ERP integrations, do some research on SAP and Workday. Being able to speak knowledgeably about these systems will show that you’re serious about the position.
✨Be Ready for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or system design scenarios that could relate to distributed systems or automation workflows, as this will demonstrate your readiness for the role.
