At a Glance
- Tasks: Develop and enhance a cutting-edge pricing intelligence platform for retail banks.
- Company: Join Clariti AI, a fast-scaling B2B SaaS startup with a collaborative culture.
- Benefits: Enjoy profit share, competitive salary, flexible hours, and remote work options.
- Other info: Exciting growth opportunities and meaningful influence on product architecture.
- Why this job: Make a real impact by shaping the future of a live SaaS product.
- Qualifications: 3+ years in software engineering with strong frontend skills and a product mindset.
The predicted salary is between 60000 - 75000 € per year.
Location: London/Hybrid – Office two+ days per week
We’re hiring a Full Stack Engineer who wants to take ownership in a fast-scaling startup.
About Clariti AI:
Clariti AI is a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages and savings. Our pricing software guides clients to price recommendations that are worth millions of Pounds or Euros in additional revenue. This is an exciting time to join the company, with a growing set of clients in the UK and Ireland. After recent successes, Clariti AI has built a very promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable.
We're looking for an exceptional Full Stack Engineer with strong frontend skills to join us as a key early hire, helping shape the next version of Clariti AI's pricing intelligence platform. This is a hands-on engineering role focused on building and improving a modern, cloud-based B2B SaaS product. You'll work across the stack, with a particular focus on frontend development, dashboard-heavy user experiences, API integration, backend services, and cloud deployment. Our current app is already live with clients. Users log in securely to access dashboards, analysis, pricing outputs, and optimisation tools for mortgage and deposit portfolios. Your role will include maintaining and improving the existing application, while also helping us build an improved second version of the platform. You'll work closely with our data science team, who own the modelling, analysis, and preparation of pricing outputs. Your job is to build the frontend, backend services, APIs, and cloud workflows that turn their analytical work into reliable, secure, scalable software in front of clients. If you enjoy being the engineer who makes the science real, this is that role.
What you'll be working on:
- Maintaining our existing live client-facing web application.
- Working with the team and our pricing-oriented clients to design and implement new features on the platform such as dashboard interfaces, pricing frontiers, reports that allow users to explore pricing outputs, portfolio performance, scenarios, and recommendations.
- Building and integrating APIs and backend services that connect prepared data and model outputs into the application.
- Improving the performance, reliability, security, and maintainability of our application.
- Helping improve our cloud deployment processes, environments, monitoring, and release workflows.
- Contributing to frontend architecture, backend patterns, component libraries, API standards, and engineering best practices.
- Contributing to architectural and product decisions as we scale into new clients, markets, and product areas including building of prototype pricing tools.
- Helping design and build version two of the Clariti AI platform.
What we're looking for (this is an exhaustive list so not all essential):
- At least 3 years of professional software/front-end engineering experience.
- Experience building data-intensive, secure web applications within financial services sector and/or price optimisation software.
- Technical experience:
- Modern (ideally React or similar) and legacy frameworks (ideally jQuery)
- HTML, CSS, Typescript
- Data visualisation libraries such as Chart.js or similar
- Backend integration: APIs, MySQL, PHP, Python
- Cloud-based applications (ideally Azure).
- A product mindset. You care not just that something works, but that it is reliable, intuitive, and maintainable.
- The ability to communicate clearly with data scientists / engineers, and clients.
- A self-starter who enjoys solving open-ended development and engineering problems and building things in an early-stage environment.
What we offer:
- A genuinely compelling profit share scheme, with the potential to own a stake in the business.
- A competitive salary, reflecting experience and impact.
- Equity options in the event of an acquisition.
- Flexible working hours and a supportive, outcomes-focused culture.
- The ability to work from anywhere for up to two months each year.
- The chance to shape the second version of a live SaaS product already used by clients.
- Meaningful influence over engineering, product architecture, frontend experience, and cloud delivery.
- 25 days of annual leave, increasing by one day per year after two years' service, up to 30 days.
Other:
Unfortunately, we're unable to sponsor visas, so applicants must have the permanent right to work in the UK. Successful applicants should be willing to work in the London office up to two days a week and should be willing to travel to clients when required.
Full Stack Engineer (Front end leaning) employer: Clariti AI
At Clariti AI, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. As a Full Stack Engineer, you'll enjoy the benefits of a competitive salary, a compelling profit share scheme, and flexible working hours, all while contributing to a cutting-edge SaaS product that is already making waves in the financial services sector. With ample opportunities for personal and professional growth, including the chance to shape the next version of our platform, Clariti AI is the perfect place for those looking to make a meaningful impact in a fast-scaling startup environment.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Engineer (Front end leaning)
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to frontend development and cloud-based applications. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining us at StudySmarter.
We think you need these skills to ace Full Stack Engineer (Front end leaning)
Some tips for your application 🫡
Craft a Compelling CV:Your CV is your first impression, so make it count! Highlight your relevant experience, especially in frontend development and any work with financial services. Tailor it to show how your skills align with what we're looking for at Clariti AI.
Show Your Passion:In your 300-word note, let us know why you want to join our team. Share what excites you about working on a B2B SaaS product and how you can contribute to shaping the next version of our platform. We love seeing genuine enthusiasm!
Be Specific About Your Skills:When detailing your experience, be specific about the technologies you've used. Mention frameworks like React or jQuery, and any experience with APIs or cloud applications. This helps us see how you fit into our tech stack.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Clariti AI
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially React, HTML, CSS, and APIs. Brush up on your knowledge of cloud-based applications, particularly Azure, as this will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Clariti AI is looking for a self-starter who enjoys solving open-ended problems, so be ready to share examples that highlight your initiative and creativity.
✨Understand the Business Context
Familiarise yourself with the B2B SaaS landscape, particularly in financial services and price optimisation. Being able to discuss how your work can impact clients' pricing strategies will show that you understand the bigger picture and are invested in the company's success.
✨Communicate Clearly
Since you'll be working closely with data scientists and clients, practice explaining complex technical concepts in simple terms. Clear communication is key, so think about how you can convey your ideas effectively during the interview.