At a Glance
- Tasks: Lead the development of innovative AI-driven code review tools from start to finish.
- Company: Join a YC-backed startup with elite founders and exciting growth.
- Benefits: Competitive salary, equity options, and a chance to shape the future of software.
- Other info: High-autonomy role with significant career growth potential.
- Why this job: Be part of a revolutionary team transforming how engineering collaborates in an AI-first world.
- Qualifications: 5+ years in software development with expertise in modern tech stacks.
The predicted salary is between 70000 - 120000 € per year.
As our first Founding Product Engineer, you will rethink how engineering teams collaborate in an AI-first world. You will own features end-to-end, from ideation to deployment, building the tools used by high-performance teams at n8n and Granola. This is a high-autonomy role requiring hardcore engineering skills and strong product intuition.
Location: London, UK
Why this role is remarkable:
- Join a fast-growing startup with 50% MoM ARR growth and a high-profile seed round led by Sequoia India and Vercel Ventures.
- Work directly with an elite team of four ex-founders, including veterans from Instagram, Tessian, and a previous YC exit.
- Shape the future of software development by building an AI-native replacement for GitHub that already powers the world's best engineering teams.
What You Will Do:
- Lead the end-to-end development of major product features using a modern stack including Next.js, React, and Vercel AI SDK.
- Act as your own Product Manager to translate user needs into technical specifications and elegant, functional software.
- Prototype and iterate rapidly on AI-driven code review workflows to define an entirely new category of developer tools.
The Ideal Candidate:
- Has 5+ years of software development experience with a track record as a self-starter or contributor to major open-source projects.
- Demonstrates mastery of the modern full-stack ecosystem, specifically React, Next.js, Prisma, Supabase, and AI integration tools.
- Possesses a rare blend of hardcore engineering rigor and product taste, obsessing over user outcomes as much as the underlying tech stack.
Founding Product Engineer (£70k-£120k + Equity) at YC-backed AI-native code review platform employer: Jack & Jill
As a Founding Product Engineer at our YC-backed AI-native code review platform in London, you will be part of a dynamic and innovative team that is reshaping the future of software development. We offer a high-autonomy work environment, competitive salary with equity options, and the chance to collaborate with industry veterans from top tech companies. Join us to not only advance your career but also to make a significant impact in an exciting startup culture that values creativity and growth.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Product Engineer (£70k-£120k + Equity) at YC-backed AI-native code review platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those connected to startups or AI. Use platforms like LinkedIn to connect with current employees at the company you're eyeing. A friendly chat can sometimes lead to a referral, which is golden!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects, especially those involving React, Next.js, or AI integrations. When you get the chance to chat with potential employers, share your work and explain how it relates to their needs.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding the latest trends in AI and software development. Practice common coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. Your passion could really make you stand out!
We think you need these skills to ace Founding Product Engineer (£70k-£120k + Equity) at YC-backed AI-native code review platform
Some tips for your application 🫡
Show Your Passion for AI and Collaboration:When writing your application, let us see your enthusiasm for AI and how it can transform engineering collaboration. Share any relevant projects or experiences that highlight your interest in this area.
Highlight Your Full-Stack Mastery:Make sure to showcase your experience with the modern stack we use, like React and Next.js. We want to know about your hands-on experience and any cool projects you've worked on that demonstrate your skills.
Be a Self-Starter in Your Application:We love candidates who take initiative! In your application, mention instances where you’ve led projects or contributed to open-source work. This will show us you have the self-starter attitude we’re looking for.
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 it gets the attention it deserves. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like React, Next.js, and AI integration tools. Prepare to discuss your past projects that utilised these technologies, showcasing your mastery and how you’ve solved real-world problems.
✨Showcase Your Product Intuition
As a Founding Product Engineer, you’ll need to act like a Product Manager too. Be ready to talk about how you translate user needs into technical specifications. Bring examples of how you've previously identified user pain points and developed solutions that enhanced user experience.
✨Demonstrate Your Self-Starter Attitude
This role requires a high level of autonomy, so highlight instances where you took initiative in your previous roles. Discuss any major open-source contributions or personal projects that show your ability to drive results independently.
✨Prepare for Rapid Prototyping Discussions
Since you'll be prototyping and iterating on AI-driven workflows, think about how you approach rapid development cycles. Be prepared to share your process for quickly turning ideas into functional prototypes and how you gather feedback to iterate effectively.
