At a Glance
- Tasks: Build AI systems to revolutionise the secondhand fashion supply chain.
- Company: Join a $50M Series B marketplace backed by top investors like a16z.
- Benefits: Be part of a high-growth team with real impact on sustainability.
- Other info: Dynamic startup culture with opportunities for rapid career growth.
- Why this job: Make a difference in fashion while working with cutting-edge AI technology.
- Qualifications: 3-5 years in engineering with full-stack and AI experience.
The predicted salary is between 60000 - 80000 € per year.
You will build the AI-native infrastructure and agentic workflows digitizing the global secondhand clothing supply chain. Working across commercial, ops, and product pods, you’ll develop production-grade agents and internal tools that automate manual processes, turning opaque physical inventory into a searchable global data layer for a market projected to reach $350B.
Location: London, UK
Why this role is remarkable:
- Ship production agentic infrastructure inside a hyper-growth business with real revenue and 3x year-on-year growth, rather than building speculative demos.
- High-impact environment backed by tier-one investors including a16z, Y Combinator, and HV Capital, with advisors from Depop and Shopify.
- Work at the intersection of AI and sustainability, building systems that have already saved 9 million items of clothing from landfills.
What You Will Do:
- Design and ship reliable agentic systems for sourcing, classification, and customer operations that automate real-world supply chain workflows.
- Extend FleekOS, the internal operating system used across the company, to make every team 10x faster through extensible automation and tooling.
- Embed directly with cross-functional pods to take features from initial problem discovery through to production-grade deployment and iteration.
The ideal candidate:
- 3-5 years of professional engineering experience shipping production systems at a high-velocity startup or scale-up environment.
- Deep full-stack proficiency with hands-on experience building with LLMs, agents, or retrieval systems in a real-world production setting.
- A builder mindset that prioritises shipping working code over perfect plans and thrives in ambiguous, fast-moving environments.
Full Stack AI Builder at $50M Series B secondhand fashion marketplace backed by a16z employer: Jack & Jill
Join a dynamic and innovative team at a $50M Series B secondhand fashion marketplace in London, where you'll have the opportunity to shape the future of AI-driven sustainability in fashion. With a strong focus on employee growth and collaboration, our culture encourages creativity and impact, allowing you to work alongside industry leaders from a16z and Y Combinator. Experience a high-growth environment that not only values your contributions but also supports your professional development in a meaningful way.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack AI Builder at $50M Series B secondhand fashion marketplace backed by a16z
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to the company you're eyeing. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your full-stack prowess, make sure to share them. Real-world examples of your work can speak volumes more than just words on a CV.
✨Tip Number 3
Prepare for the interview by diving deep into the company’s mission and values. Understand how your role as a Full Stack AI Builder fits into their vision of sustainability and innovation. This will help you stand out as someone who truly gets what they’re about.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace Full Stack AI Builder at $50M Series B secondhand fashion marketplace backed by a16z
Some tips for your application 🫡
Show Your Passion for AI and Sustainability:When writing your application, let us see your enthusiasm for AI and how it can drive sustainability in the fashion industry. Share any relevant projects or experiences that highlight your commitment to these areas.
Tailor Your Experience to the Role:Make sure to align your skills and experiences with what we’re looking for in a Full Stack AI Builder. Highlight your hands-on experience with LLMs and agents, and don’t forget to mention any production systems you've shipped in fast-paced environments.
Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your key achievements and skills at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our growing team.
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your full-stack skills, especially around LLMs and agentic systems. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Builder Mindset
Prepare examples that highlight your ability to ship working code quickly. Talk about times when you’ve prioritised getting things done over perfecting plans. This role is all about agility, so demonstrate how you thrive in fast-paced environments.
✨Understand the Business Impact
Research the secondhand fashion market and understand how AI can transform supply chains. Be prepared to discuss how your work can contribute to sustainability and efficiency in this space. Showing that you grasp the bigger picture will impress the interviewers.
✨Engage with Cross-Functional Teams
Since the role involves working with various teams, think of ways you’ve collaborated across departments in the past. Share stories that illustrate your communication skills and how you’ve successfully taken features from concept to deployment.
