At a Glance
- Tasks: Lead the development of AI systems for a platform with 1.7 million users.
- Company: Fast-growing London AI startup backed by top-tier investors.
- Benefits: Up to £200k salary, equity, and a dynamic work environment.
- Other info: Work directly with a founding team of Cambridge graduates and industry leaders.
- Why this job: Join a mission to help 1 billion people learn through gamified AI education.
- Qualifications: 7-8+ years in software engineering with expertise in TypeScript and LLMs.
You will lead the development of production-grade AI systems for a platform serving 1.7 million monthly active users. Reporting to the CEO, you will ship features like automated marking and agentic workflows using TypeScript. This is a high-impact role focused on building the core intelligence behind a rapidly scaling global learning product.
Why this role is remarkable:
- Join one of the UK’s fastest-growing startups with $5M ARR and a mission to help 1 billion people learn through gamified AI education.
- Work directly with a founding team of Cambridge graduates and former Amazon/Google leaders in a high-autonomy, low-process environment.
- Access a generous compensation package including a salary up to £200k and meaningful equity in a recently funded Series A company.
What You Will Do:
- Design and ship end-to-end AI features in TypeScript, including study material generation, automated marking, and structured content ingestion.
- Architect and iterate on sophisticated agentic prompt workflows and multi-step model pipelines using GPT-4, Claude, and Gemini.
- Build internal evaluation frameworks and tooling to systematically measure and improve AI output quality, correctness, and system reliability.
The ideal candidate:
- Offers 7-8+ years of software engineering experience with deep expertise in TypeScript and a proven track record of shipping user-facing products.
- Demonstrates practical experience deploying LLMs in production, including prompt engineering, model evaluation, or an academic background in ML/AI.
- Thrives in early-stage environments, possessing strong product instincts and the ability to solve complex technical challenges with minimal supervision.
Product Engineer (Up to £200k + Equity) at $22M Series A AI learning startup in London employer: Jack & Jill
Join a dynamic and innovative AI learning startup in London, where you'll be at the forefront of developing cutting-edge production-grade AI systems that impact millions. With a culture that champions autonomy and collaboration, you'll work alongside a talented founding team and enjoy a competitive salary package, including equity, as you contribute to a mission-driven company aiming to revolutionise education for a billion learners worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Product Engineer (Up to £200k + Equity) at $22M Series A AI learning startup in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work at startups. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving TypeScript and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key, so let your passion for AI shine through!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our mission. Tailor your application to highlight how your experience aligns with our goals, and make sure to follow up after applying!
We think you need these skills to ace Product Engineer (Up to £200k + Equity) at $22M Series A AI learning startup in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it can transform learning. Share any personal projects or experiences that highlight your interest in this field.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to reflect the skills and experiences that align with the Product Engineer role. Highlight your TypeScript expertise and any relevant projects you've worked on.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for our team and the challenges we face.
Apply Through Our Website:We encourage you to apply directly through our website. This helps us streamline the process and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you’re well-versed in TypeScript and the AI technologies mentioned in the job description. Brush up on your experience with LLMs, prompt engineering, and model evaluation. Being able to discuss your past projects and how they relate to the role will show that you’re not just a fit, but a perfect match.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially in early-stage environments. Think about how you approached complex technical problems and what solutions you implemented. This will demonstrate your ability to thrive in a high-autonomy setting.
✨Understand the Company’s Mission
Familiarise yourself with the startup's mission to help 1 billion people learn through gamified AI education. Be ready to share your thoughts on how you can contribute to this vision and why it resonates with you. This shows genuine interest and alignment with their goals.
✨Prepare Questions for the Founders
Since you’ll be working closely with the founding team, come prepared with insightful questions about their vision, company culture, and future plans. This not only shows your enthusiasm but also helps you gauge if the environment is right for you.
