At a Glance
- Tasks: Design and ship full-stack product features while building scalable backend systems.
- Company: Fast-growing AI startup revolutionising enterprise finance and accounting.
- Benefits: Strong compensation, equity upside, and significant growth potential.
- Other info: Join a small, senior team with high ownership and visibility from day one.
- Why this job: Tackle real-world workflow challenges at the intersection of AI and product engineering.
- Qualifications: Experience in building complex software products and comfortable with modern engineering stacks.
The predicted salary is between 80000 - 100000 € per year.
We’re partnered with a fast-growing AI startup building next-generation workflow automation software for enterprise finance and accounting teams. The company is tackling one of the largest untouched opportunities in enterprise software, replacing repetitive, manual financial operations with intelligent, agent-driven systems integrated directly into core ERP platforms.
This is a high-impact Staff Product Engineering role for someone who enjoys operating across the stack, owning complex systems end-to-end, and working close to both customers and product strategy.
The opportunity
You’ll work on deeply technical, production-grade systems spanning backend architecture, financial data pipelines, AI-powered workflows, integrations, infrastructure, and frontend product surfaces. The role combines strong engineering fundamentals with real product ownership in a fast-moving environment.
What you’ll be doing
- Designing and shipping full-stack product features end-to-end
- Building scalable backend systems and distributed workflows
- Working with complex financial and ERP data environments
- Developing configurable ingestion and automation pipelines
- Contributing to AI-powered workflow and agent systems
- Collaborating closely with product, design, and AI teams
- Driving engineering quality, reliability, and technical direction
- Mentoring engineers and raising the technical bar across the team
What they’re looking for
- Strong experience building and shipping complex software products at scale
- Product-minded engineer comfortable owning problems end-to-end
- Experience across modern engineering stacks and infrastructure
- Ability to move quickly while maintaining high quality standards
- Comfortable operating in ambiguity and challenging assumptions
- Bonus points for fintech, ERP, accounting, or financial data experience
Tech environment
Python, distributed systems, AI tooling, modern cloud infrastructure, TypeScript, Kubernetes, and enterprise integrations.
Why this role
- Solve genuinely difficult real-world workflow problems
- Work at the intersection of AI, enterprise systems, and product engineering
- High ownership and visibility from day one
- Small, senior, highly technical team
- Strong compensation + equity upside
- London-based role with significant growth potential
If you enjoy building ambitious AI-native products with real enterprise complexity and want meaningful ownership across architecture and product direction, this is a standout opportunity.
Senior AI Product Manager in London employer: Radley James
As a fast-growing AI startup based in London, we offer an exceptional work environment that fosters innovation and collaboration. Our culture is built on high ownership and visibility, allowing you to make a significant impact from day one while working alongside a small, highly technical team. With strong compensation packages and ample opportunities for professional growth, we are dedicated to empowering our employees to tackle complex challenges in the realm of enterprise finance and accounting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Product Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and fintech space on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository that highlights your past projects, especially those related to AI and product management. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s products and tech stack. Understand their challenges and come up with ideas on how you could contribute. This shows you're not just interested in the role but genuinely invested in their success.
✨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, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior AI Product Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior AI Product Manager role. Highlight your experience in building complex software products and any relevant fintech or ERP knowledge to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and product management. Share specific examples of how you've tackled challenges in previous roles, especially those involving backend systems or financial data.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Mention your experience with Python, distributed systems, and any AI tooling you've worked with. We love seeing candidates who can operate across the stack.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity right away!
How to prepare for a job interview at Radley James
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Kubernetes, and AI tooling. Brush up on your knowledge of distributed systems and cloud infrastructure, as these will likely come up during technical discussions.
✨Showcase Your Product Mindset
Prepare to discuss how you've owned complex software products in the past. Be ready to share specific examples where you’ve designed and shipped features end-to-end, highlighting your ability to balance technical challenges with product strategy.
✨Understand the Financial Context
Since this role involves working with financial data and ERP systems, it’s crucial to demonstrate your understanding of these areas. Familiarise yourself with common financial operations and how automation can improve efficiency in enterprise environments.
✨Emphasise Collaboration Skills
This position requires close collaboration with various teams. Prepare examples that showcase your experience working with product, design, and AI teams. Highlight how you’ve mentored others and contributed to raising the technical bar within your team.
