You will report directly to one of the co-founder, work hand-in-hand with engineers & ML
engineers, and take an active role in the building of our Product:
Data Science :
● You will use LLMs & other data science models to understand AI agents & how to
improve them.
● In particular you need a solid understanding of ML models in order to suggest areas
of improvement to the ML team.
Metrics & KPIs :
● Develop & refine performance metrics (or DS models) in the context of Customer
Support (How to measure “accuracy”? etc.). You will be at the forefront of LLMs
development & need to build innovative approaches to measure their quality.
● Design “AB tests” experiments in the context of LLMs to help continuously
measure & improve the performance of the AI agents.
Audits & Reporting :
● Conduct deep-dives & audits on large (>1million) textual data (Customer Support
discussions). Your goal will be to audit i) the quality of the Customer Service (human
or AI) ii) how to improve it.
● Summarize findings & recommendations during internal and client meetings
● Build reports & dashboards.
● You have 5+ years of experience in quantitative analysis roles, including having
worked closely with product & engineering teams.
● Specifically you have experience working with ML engineers on complex ML-related
features (ex. Search, etc.)
● Experience using & testing LLMs is a plus.
● You have advanced knowledge of both SQL and Python (Our data stack will require
you to use python extensively and use git repositories to pull data & share scripts)
● Entrepreneur: As we build our product from the ground up, we seek a small but
powerful team empowered to lead and operate with autonomy.
● Innovator: Reinventing entire industries with AI is uncharted territory, and creativity
is essential to our culture.
● Builder: Beyond coding, we’re problem-solvers who iterate on features, pushing
boundaries to create tangible value for the company and our users.
● Team Player: We share knowledge, support one another, and focus on collective
success.
● Competitive Salary: Adjusted based on experience.
● Equity: Participation in our employee stock option plan (BSPCE).
● Full Remote: Flexibility to work from anywhere in Europe with a supportive remote
culture.
● Professional Growth: Opportunities for continuous learning, mentorship, and career
advancement.
- First call with the CPO to talk about the job, responsibilities, what they can offer to you and talk about your technical background.
- Study case + restitution with the CTO & CPO
- Call with the 2 other co-founders (culture fit)
- Offer