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For Companies At a Glance
- Tasks: Lead full-stack development and shape core product features from backend to frontend.
- Company: Join a groundbreaking AI startup backed by top investors, transforming financial advisory.
- Benefits: Competitive salary, opportunities for growth, and a collaborative work environment.
- Other info: Dynamic startup culture with international travel opportunities and a focus on innovation.
- Why this job: Be part of a mission-driven team revolutionising financial tools with cutting-edge technology.
- Qualifications: Strong coding skills, business acumen, and a passion for continuous learning.
The predicted salary is between 70000 - 90000 £ per year.
About Marloo
Financial advisers carry an extraordinary responsibility. They guide people through the most important financial decisions of their lives. For too long the tools available to them have been unworthy of that responsibility. We are building the AI partner that changes that. Not a notetaker, but the infrastructure the profession has always needed and never had. Backed by Blackbird Ventures, the first and largest investor in Canva. In under a year we have onboarded 650+ firms across six countries with almost zero churn. We are at the beginning of something significant and the momentum speaks for itself.
What you'll do
- Full-stack development: Build and own core product features end-to-end. You'll work across the stack, from backend infrastructure to frontend experiences, with a bias toward shipping fast and iterating.
- Architecture ownership: Establish foundational patterns and technical decisions that will scale with the company. You'll be the codebase authority and shape the engineering culture.
- Product collaboration: Work directly with founders to translate user needs into technical solutions. Your business acumen and product intuition matter as much as your coding ability.
- AI-native development: Use AI tools daily for architecting, building, and debugging across stacks. We expect you to be a power user of modern AI development tools.
You're a fit if
- Full-stack/backend coding excellence — talent prioritised over years of experience
- Deep mission commitment regarding financial advisory transformation
- Business acumen with product and growth orientation
- Continuous learning drive for 0-1 development cycles
- Customer obsession, impact focus, intellectual curiosity, execution speed
- High risk tolerance and comfort with ambiguity
- Collaborative long-term mindset
- Daily AI tool proficiency for architecting, building, debugging across stacks
- Prioritises in-person collaboration and able to travel internationally
Nice to have
- Engineering hiring, management, and development track record
- Startup experience navigating critical milestones toward product-market fit
- Security infrastructure and data privacy compliance implementation experience
Salary range: £70-£90k depending on experience. Exceptions on a case-by-case basis and determined relative to open compensation standards. Happy to discuss what that would look like for you specifically during our interview process.
Founding Engineer, London employer: Marloo
Contact Detail:
Marloo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Engineer, London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Founding Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your full-stack projects and any AI tools you've used. This will give you an edge and demonstrate your coding excellence and product intuition.
✨Tip Number 3
Be ready to chat about your vision! When you get that interview, be prepared to discuss how you can transform financial advisory with innovative tech solutions. Your business acumen is just as important as your coding skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our mission.
We think you need these skills to ace Founding Engineer, London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for transforming financial advisory shine through. We want to see how committed you are to making a difference in this space, so share your thoughts on why this mission resonates with you.
Highlight Your Skills: Make sure to showcase your full-stack development skills and any experience with AI tools. We’re looking for someone who can own core product features, so don’t hold back on detailing your coding excellence and any relevant projects you've worked on.
Be Authentic: We value authenticity, so be yourself in your application. Share your unique experiences and perspectives that have shaped your approach to engineering and product development. This helps us get to know the real you!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people.
How to prepare for a job interview at Marloo
✨Know Your Tech Stack
Make sure you’re well-versed in the full-stack technologies mentioned in the job description. Brush up on your backend and frontend skills, and be ready to discuss how you've used them in past projects. This will show that you can hit the ground running.
✨Show Your Business Acumen
Since this role involves translating user needs into technical solutions, think about how your technical decisions can impact the business. Prepare examples of how you've collaborated with non-technical teams or contributed to product growth in previous roles.
✨Embrace AI Tools
Familiarise yourself with modern AI development tools, as they are a key part of the role. Be prepared to discuss how you’ve used AI in your coding process, whether for debugging or building features. This will demonstrate your readiness to innovate.
✨Prepare for Ambiguity
This position requires a high risk tolerance and comfort with ambiguity. Think of examples from your past where you navigated uncertain situations or made decisions without all the information. This will highlight your adaptability and problem-solving skills.