Kleep AI is an AI-powered SaaS helping fashion brands make their e-commerce more personalized, more efficient, and more profitable. Our solutions leverage advanced AI and LLMs to improve product discovery, performance, and user experience, while supporting a more sustainable e-commerce model.
Founded in 2022 by two data scientists, Kleep AI has raised €2.5M and is now trusted by 150 international fashion brands, including Lacoste, Kenzo, Givenchy, The Kooples, Showroomprivé, Intersport, Victoria Beckham, Soeur, and more.
We are entering a new phase: from fast-growing startup to structured scale-up to reach 1000 clients by 2027. To support that transition, we are actively looking for a key person to build our tech execution.
Some key figures :
- Kleep has reached €2M ARR
- Profitable
- Growing 5x year-over-year
- NYC office opened in january 2026 (shared with our friends at Gorgias 💙)
About the Role
As a Founding Software Engineer, you’ll work accelerate Kleep’s growth and help deliver on ambitious product and goals, in close collaboration with with
Théophile
(Co-founder & CTO) and
Paul-Emile
(Head of Machine Learning).
You will have an active role in making Kleep's ambitious product strategy a reality. You'll have an actual impact on
what we build
,
how we build it, and how engineering evolves at Kleep.
From early prototypes to production-grade systems, you’ll own components end-to-end, drive quality and reliability as we scale, and you'll help shape technical decisions — turning roadmap goals into durable, scalable products.
Why Founding?
Because this role is central to scaling our product suite, and you'll be part of Kleep's ambitious core team:
- strengthening our core experience and platform to reach 1000 clients
- and building the next capabilities that expand our impact with brands and shoppers
- Experience:
This role is open to different experience levels (min. 1 year), whether you’re early in your career or already more seasoned. What we care about most is that you're smart, ambitious, fun to work with, eager to learn, and who genuinely enjoys building meaningful projects with real impact.
You’ll learn a lot - every day.
- It's always day 1 at Kleep
Tech Stack
- Back-end: Node.js, Python
- (Front-end: TypeScript, React.js - this is FYI, this role is mostly backend)
- Cloud services: AWS, GCP
- Tools: GitHub, Linear, Vercel
Your responsibilities
- Take part in designing & building core features across platform, AI pipelines and integrations
- Help define technical architecture choices with scalability, security, and compliance in mind
- Work closely with the founding team and studio partners (= clients who like us and want to help build the products) from ideation to production
- Take part in high-impact technical decisions that will help shape the product roadmap
Why join Kleep AI
- Immediate impact:
Your work directly powers AI products used by leading international brands.
- Strong technical exposure:
Hands-on experience with production data systems at scale.
- Supportive and ambitious team:
Learn alongside experienced founders and engineers.
- Fast learning curve:
Rapid skill development in a modern, AI-driven tech stack.
Practical information
- Start date:
As soon as possible (flexible)
- Contract:
Permanent (Full-time)
- Location:
Paris
Aligned with Kleep’s culture and vision:
- Curiosity is one of your key strengths, and you enjoy solving complex problems.
- You enjoy learning & you are able to quickly identify and acquire the skills needed to achieve your goals
- You have a high level of energy
- You are familiar with software development
- You are eager to take on an ambitious role in an fast-growing and highly-rewarding entrepreneurial venture.
- You are a strong team player with a high degree of autonomy.
- Experience: > 1-1.5 years
We typically make sure that your recruiting process is the most efficient possible, for you and for us. You'll get answers for next rounds within 1 business day.
-
Fit interview 1:
See if we're a (potential) mutual match
Interviewer: CTO or Head of Machine Learning
-
Technical interview 1:
Logical & design reasoning
Interviewer: CTO or Head of Machine Learning
-
Technical interview 2:
Coding skills assessment
Interviewer: CTO or Head of Machine Learning
-
