At a Glance
- Tasks: Develop and deploy innovative AI-driven features for a cutting-edge consumer research platform.
- Company: Join a high-growth YC S25 startup founded by ex-Palantir and ex-Google engineers.
- Benefits: Competitive salary, equity options, and the chance to work remotely.
- Other info: Enjoy high ownership and influence in a dynamic, flat-structured team.
- Why this job: Be part of a team disrupting the $20B+ market research industry with AI technology.
- Qualifications: 3+ years of full-stack engineering experience and a passion for AI technologies.
The predicted salary is between 75000 - 100000 £ per year.
Join a high-growth startup founded by ex-Palantir and ex-Google engineers replacing traditional qualitative research with AI agents. As the second engineering hire, you'll work directly with the founders to build an AI-first platform that delivers deep consumer insights in 48 hours. You will own product features from conception to deployment.
Location: London, UK
Why this role is remarkable:
- Join a YC S25 startup with massive traction and real-world impact, building the future of focus groups through proprietary AI agents.
- Enjoy high ownership and a flat structure, working directly with a CTO (ex-Palantir) and CEO (ex-Google, ex-TrueLayer) in a tight-knit London team.
- Influence the early-stage architecture and product direction of an AI-first company that is fundamentally disrupting the $20B+ market research industry.
What You Will Do:
- Develop and deploy full-stack features using Next.js, React, TypeScript, and GraphQL, moving from idea to production on the same day.
- Architect and refine AI-driven components that moderate video interviews and generate actionable consumer insights across multiple languages and markets.
- Collaborate across functions with design, sales, and customer success to iterate rapidly based on direct feedback from high-profile consumer brands.
The ideal candidate:
- Possesses 3+ years of full-stack engineering experience with genuine backend depth and a mastery of the modern TypeScript ecosystem.
- Demonstrates an "owner" mindset with the ability to navigate ambiguity, ship high-quality code at speed, and thrive in an early-stage environment.
- Shows a strong interest or experience in building with AI technologies and a passion for crafting products that users genuinely love.
Software Engineer (£75k-£100k+ + Equity) at YC S25 AI-powered consumer research platform employer: Jack & Jill
Join a dynamic YC S25 startup in London, where you'll be at the forefront of revolutionising market research with AI technology. Enjoy a collaborative and flat work culture that fosters high ownership and direct interaction with experienced founders, offering you unparalleled opportunities for professional growth and influence in shaping innovative products. With competitive compensation, equity options, and the chance to make a real-world impact, this role is perfect for those looking to thrive in a fast-paced, meaningful environment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (£75k-£100k+ + Equity) at YC S25 AI-powered consumer research platform
✨Tip Number 1
Get to know Jack! He’s your first step in landing this Software Engineer role. Chat with him about your skills and what you’re looking for, so he can match you with the right opportunities.
✨Tip Number 2
Don’t be shy about showcasing your experience! When you talk to Jack, highlight your full-stack engineering background and any AI projects you've worked on. This will help him pitch you to Jill effectively.
✨Tip Number 3
Be proactive! After your chat with Jack, keep an eye on your inbox. If Jill thinks you’re a fit, she’ll reach out for an introduction. Stay ready to impress!
✨Tip Number 4
If this role isn’t the one for you, don’t worry! Jack is here to help you find other great opportunities. Just let him know what you’re after, and he’ll work his magic.
We think you need these skills to ace Software Engineer (£75k-£100k+ + Equity) at YC S25 AI-powered consumer research platform
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, make sure to highlight your interest in AI technologies. We want to see that you’re not just a coder but someone who genuinely loves crafting products that users adore.
Be Specific About Your Experience:Don’t just list your skills; give us examples of how you've used them in real projects. We’re looking for candidates with a solid background in full-stack engineering, so show us what you've built and how it made an impact.
Emphasise Ownership and Initiative:We love candidates who take ownership of their work. In your application, share instances where you navigated ambiguity and delivered high-quality code quickly. This will help us see your 'owner' mindset in action!
Apply Through Our Website:Make sure to apply through our website! It’s the best way for us to connect with you and ensure your application gets into the right hands. Plus, Jack is here to help you every step of the way!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Make sure you’re well-versed in Next.js, React, TypeScript, and GraphQL. Brush up on your full-stack development skills and be ready to discuss how you've used these technologies in past projects. This will show that you can hit the ground running.
✨Show Your Owner Mindset
This role requires someone who can navigate ambiguity and take ownership of their work. Prepare examples from your previous experience where you’ve taken initiative or led a project. Highlight how you thrive in fast-paced environments.
✨Demonstrate Your AI Passion
Since this is an AI-powered platform, express your interest or experience in AI technologies. Share any relevant projects or ideas you have about how AI can enhance consumer research. This will resonate well with the founders' vision.
✨Prepare for Collaborative Questions
You’ll be working closely with design, sales, and customer success teams. Think of examples where you’ve collaborated across functions. Be ready to discuss how you handle feedback and iterate on products based on user insights.
