At a Glance
- Tasks: Lead experimentation to validate growth ideas using Django, React, and LLM integrations.
- Company: AI-driven fintech platform focused on innovation and rapid growth.
- Benefits: Autonomous work environment, competitive salary, and support from top-tier VCs.
- Why this job: Make a direct impact in a fast-paced AI startup and learn rapidly.
- Qualifications: 4-7 years of software engineering experience with full-stack proficiency.
- Other info: Join a dynamic team with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Overview: This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network.
Role: Growth Engineer
Company Description: AI-driven fintech platform building operating systems
Job Description: You will lead the company’s experimentation engine, moving from hypothesis to proof-of-concept in days. By working across the full stack with Django, React, and LLM integrations, you will build and validate new growth wedges. Your work directly influences the product roadmap by identifying what users value through rapid prototyping and data-driven learning.
Location: London, UK
Why this role is remarkable:
- Direct impact on the "Speed of Learning" engine of a fast-moving AI startup
- Highly autonomous environment where you are encouraged to fail fast and kill ideas based on data
- Backed by top-tier VCs and focused on a massive market opportunity in financial services
What you will do:
- Build end-to-end POCs in days using Django, React, and LLM integrations to test specific hypotheses
- Talk directly to users and design partners to translate customer pain points into testable experiments
- Instrument and analyze experiment data to validate or pivot product features before full-scale production
The ideal candidate:
- 4-7 years of software engineering experience in high-growth startups or as a former founder
- Full-stack proficiency in Python/Django and React/TypeScript with a history of shipping AI/LLM features
- Strong product sense and experimentation mindset that prioritises validation over technical perfection
Next steps:
- Visit our website
- Click 'Talk to Jack'
- Talk to Jack so he can understand your experience and ambitions
- Jack will make sure Jill (the AI agent working for the company) considers you for this role
- If Jill thinks you’re a great fit and her client wants to meet you, they will make the introduction
- If not, Jack will find you excellent alternatives. All for free
We never post fake jobs. This isn’t a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Growth Engineer at AI-driven fintech platform employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Growth Engineer at AI-driven fintech platform
✨Tip Number 1
Get to know the company inside out! Research their products, values, and culture. This way, when you chat with Jack or Jill, you can show off your knowledge and enthusiasm for the role.
✨Tip Number 2
Practice your pitch! Be ready to explain how your skills in Django, React, and LLM integrations can help the company grow. Keep it concise and focus on how you can add value.
✨Tip Number 3
Don’t shy away from asking questions during your conversations. It shows you're genuinely interested and helps you understand if the role is the right fit for you too!
✨Tip Number 4
Apply through our website! It’s the best way to ensure Jack knows you’re keen on this opportunity. Plus, he’s here to help you every step of the way, so take advantage of that!
We think you need these skills to ace Growth Engineer at AI-driven fintech platform
Some tips for your application 🫡
Show Your Passion for Growth: When you're writing your application, let your enthusiasm for growth engineering shine through. Talk about your past experiences and how they relate to building and validating new ideas. We want to see that you’re excited about experimenting and learning!
Tailor Your Application: Make sure to customise your application for this specific role. Highlight your full-stack experience with Django and React, and mention any relevant projects where you've shipped AI features. We love seeing candidates who take the time to connect their skills to what we’re looking for.
Be Data-Driven: Since this role is all about data-driven learning, include examples of how you've used data to inform your decisions in previous roles. Whether it’s through A/B testing or user feedback, show us how you’ve validated ideas before going full-scale.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure that Jack can help you out. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Stack
Make sure you’re well-versed in Django, React, and LLM integrations. Brush up on your full-stack skills and be ready to discuss how you've used these technologies in past projects. Being able to talk about specific examples will show your expertise and confidence.
✨Understand the Experimentation Mindset
Since this role focuses on rapid prototyping and data-driven learning, come prepared with examples of how you've approached experimentation in your previous roles. Be ready to discuss how you’ve validated ideas through testing and what you learned from failures.
✨Engage with User Feedback
This position requires direct interaction with users and design partners. Think about how you’ve translated customer pain points into actionable experiments before. Show that you value user feedback and can pivot based on their insights.
✨Demonstrate Your Product Sense
Highlight your strong product sense by discussing how you prioritise validation over technical perfection. Prepare to share instances where you made decisions based on user value rather than just technical capabilities. This will resonate well with the company’s goals.