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- Tasks: Join us as a Full-Stack Product Engineer, building AI solutions for finance.
- Company: We're a top FinTech AI company, transforming finance with cutting-edge technology.
- Benefits: Enjoy remote work flexibility, competitive salary, and meaningful equity options.
- Why this job: Be part of a fast-growing team making a real impact in the finance industry.
- Qualifications: Looking for innovative thinkers with a passion for AI and software development.
- Other info: Occasional travel to our London office may be required.
The predicted salary is between 56000 - 104000 £ per year.
Location: Office in London; open to remote with occasional travel.
Type: Full-time
Compensation: £70k-£130k + meaningful equity
Reach: Trusted by 40% of the world’s top 50 financial firms.
We’re building AI agents to solve the hardest knowledge problems in finance. Our mission is simple: eliminate the hours financial professionals waste on repetitive, manual analysis—so they can focus on what really matters. We’re building advanced, domain-specific AI systems that automate deep, complex reasoning in financial workflows.
We’ve been growing fast: 5x revenue growth year-on-year, with the same trajectory forecasted for 2025. Our platform is already trusted by nearly half of the top 50 financial institutions globally.
Software Engineer employer: Thrivve by intelletec
Contact Detail:
Thrivve by intelletec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and finance. Understanding how AI is transforming the financial sector will not only help you during interviews but also show your genuine interest in our mission.
✨Tip Number 2
Brush up on your full-stack development skills, particularly in technologies relevant to our stack. Being able to discuss your experience with specific tools and frameworks we use can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the FinTech space. Engaging with industry events or online communities can provide insights into what we value at StudySmarter and may even lead to referrals.
✨Tip Number 4
Prepare to discuss real-world problems you've solved using AI in finance. Sharing concrete examples of your work can demonstrate your problem-solving abilities and align with our goal of automating complex reasoning.
We think you need these skills to ace Software Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Full-Stack Product Engineer. Familiarise yourself with the technologies and skills required, such as AI, finance, and full-stack development.
Tailor Your CV: Customise your CV to highlight relevant experience in software engineering, particularly in AI and finance. Use specific examples of projects you've worked on that demonstrate your skills in full-stack development.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your passion for AI in finance. Explain why you want to work for this company and how you can contribute to their mission of automating financial workflows.
Showcase Your Projects: If you have any personal or professional projects related to AI or finance, include them in your application. Provide links to your GitHub or portfolio to give the hiring team a clear view of your capabilities.
How to prepare for a job interview at Thrivve by intelletec
✨Understand the Company’s Mission
Before your interview, make sure you grasp the company's mission of eliminating repetitive analysis in finance. Familiarise yourself with their AI products and how they impact financial workflows, as this will show your genuine interest and alignment with their goals.
✨Showcase Your Full-Stack Skills
As a Full-Stack Product Engineer, it's crucial to demonstrate your proficiency in both front-end and back-end technologies. Be prepared to discuss specific projects where you've successfully integrated these skills, highlighting any relevant frameworks or languages you’ve used.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and coding skills. Brush up on algorithms, data structures, and system design principles, as well as any specific technologies mentioned in the job description. Practising coding challenges can also be beneficial.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions about the company’s future projects, team dynamics, or their approach to AI in finance. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
