At a Glance
- Tasks: Architect backend infrastructure for an AI-native platform transforming facilities management.
- Company: Fast-growing AI proptech startup with a dynamic culture.
- Benefits: Competitive salary, equity options, and direct collaboration with founders.
- Other info: Work on-site in Central London for high-velocity collaboration.
- Why this job: Gain true ownership and make impactful decisions in a high-growth environment.
- Qualifications: Expert-level Python skills and experience in early-stage startups.
The predicted salary is between 60000 - 75000 £ per year.
As the first senior technical hire, you will architect the backend infrastructure for an AI-native platform transforming the $1.5T facilities management industry. Working directly with founders, you'll move from prototype to production, building robust Python systems, data pipelines, and API layers to replace legacy software with intelligent automation.
Why this role is remarkable:
- True founding-level ownership with the power to define the entire architectural roadmap for a high-growth AI platform.
- Backed by industry experts with live contracts and early revenue in a massive, underserved global market.
- Direct collaboration with founders in a fast-paced environment where your technical decisions have immediate business impact.
What You Will Do:
- Design and own the end-to-end architecture including database design, API layers, and complex data pipelines.
- Ship production-grade Python code using FastAPI or Django and manage scalable AWS/PostgreSQL infrastructure.
- Integrate the platform with legacy facilities management software to create seamless, real-time data flows for predictive maintenance.
The ideal candidate:
- Expert-level Python skills with a track record of building and scaling production systems from the ground up.
- Previous experience in early-stage startups or a founder-level mindset comfortable with pre-product-market fit ambiguity.
- Ability to work on-site in Central London at least four days a week to foster high-velocity collaboration.
Founding Systems Architect / Engineer (£60k–£75k + Equity) at fast-growing AI proptech startup employer: Jack & Jill
As a fast-growing AI proptech startup based in London, we offer an exceptional opportunity for the Founding Systems Architect/Engineer to take true ownership of architectural decisions that will shape our innovative platform. Our dynamic work culture fosters collaboration with founders and industry experts, providing you with the chance to make a significant impact in a rapidly evolving market while enjoying competitive compensation and equity options.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Systems Architect / Engineer (£60k–£75k + Equity) at fast-growing AI proptech startup
✨Tip Number 1
Network like a pro! Reach out to people in the AI and proptech space on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Python projects, especially those involving backend architecture or data pipelines. We want to see what you can do, so make it easy for us to find your work!
✨Tip Number 3
Prepare for the interview by understanding our company and the industry. Research the latest trends in AI and facilities management. We love candidates who are genuinely interested and can discuss how they can contribute to our mission.
✨Tip Number 4
Apply through our website! It’s the quickest way to get your application in front of us. Plus, we’re always on the lookout for passionate individuals who want to be part of something big from the ground up.
We think you need these skills to ace Founding Systems Architect / Engineer (£60k–£75k + Equity) at fast-growing AI proptech startup
Some tips for your application 🫡
Show Your Passion for AI and Proptech:When writing your application, let us see your enthusiasm for AI and the proptech industry. Share any relevant projects or experiences that highlight your interest and expertise in these areas. We want to know why you're excited about transforming the facilities management industry!
Highlight Your Technical Skills:Make sure to showcase your expert-level Python skills and any experience with FastAPI or Django. We’re looking for someone who can build robust systems, so include specific examples of your past work that demonstrate your ability to design and manage scalable infrastructure.
Emphasise Your Startup Experience:If you've worked in early-stage startups before, shout about it! We value a founder-level mindset, so share how you've navigated ambiguity and contributed to building something from the ground up. This will show us you’re ready for the fast-paced environment we thrive in.
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 don’t miss out on any important updates. Plus, it shows us you’re keen to be part of our journey right from the start!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, FastAPI, and Django. Brush up on your knowledge of AWS and PostgreSQL too. Be ready to discuss your past projects and how you've built scalable systems, as this will show your expertise and confidence.
✨Understand the Company’s Vision
Research the AI proptech startup and understand their mission in transforming the facilities management industry. Be prepared to share your thoughts on how you can contribute to their goals and what architectural decisions you would prioritise.
✨Prepare for Technical Challenges
Expect to face technical questions or even live coding challenges during the interview. Practice solving problems related to backend architecture and data pipelines. This will help you demonstrate your problem-solving skills and ability to think on your feet.
✨Show Your Collaborative Spirit
Since you'll be working closely with founders, highlight your experience in team settings and your ability to thrive in fast-paced environments. Share examples of how you've successfully collaborated in previous roles, especially in early-stage startups.
