About Us 👇🏼
lemlist is the sales engagement platform that gives sales teams the unfair advantage they deserve.
Bootstrapped since day one, we’ve grown from 0 to $35M ARR in 6 years, without raising a single dollar.
Today, we’re a profitable B2B SaaS company valued at $150M, trusted by 40,000+ sales teams worldwide to book more meetings and close more deals.
We’re looking for a Data Scientist / AI Engineer to join our team. You'll be responsible for identifying and shipping AI use cases that have a direct impact on the product and the business, working closely with Product and Engineering teams.
Your Main Mission Will Be:
- Identify where AI can create leverage across the product, propose concrete use cases, and take ownership from problem framing to production.
- Design, develop, and maintain LLM-based systems: prompt engineering, orchestration, retrieval pipelines, evaluation frameworks, observability…
- Deploy and operate AI models and infrastructure, including GPU server management and model serving.
- Design, train, evaluate, and maintain Machine Learning models in production.
- Support business and product teams with data-driven insights.
Key Results 🎯
Within 3 months, you will have/be:
- Successfully onboarded and integrated into the team.
- Have a clear understanding of the product, data, and existing AI systems.
- Audited existing LLM systems and ML models, identified quick wins and gaps.
- Shipped a first AI use case end-to-end in production.
- Set up or improved evaluation frameworks for at least one existing LLM system.
Within 12 months, you will have:
- Shipped several meaningful AI use cases that have a measurable impact on the product.
- Built a solid evaluation and observability layer across multiple LLM systems in production.
- Improved significantly the AI culture within lemlist.
- Supported the C-level (CEO, CPO, CMO, Head of Sales…) for strategic decisions.
What’s In It For You? 🎁
- Work in a profitable, bootstrapped, and high-growth company that doesn’t rely on external funding to live.
- Work on high-impact projects with highly skilled data profiles composed of a Senior Analytics Eng, a Senior Data Engineer and a Data Analyst that directly drive business decisions.
- Collaborate directly with the C-suite on strategic topics.
- Work with a team obsessed with speed, growth, and impact.
Preferred Experience ⭐
Must have:
- 4+ years in a Data Science or AI Engineering role, ideally in a fast-moving environment.
- Advanced Python and SQL skills.
- Strong hands-on experience building and operating LLM-based systems: model APIs, agentic pipelines, RAGs, evaluation, and observability.
- Proficiency with agent-based frameworks such as LangChain.
- Hands-on experience with deep learning libraries (PyTorch, Transformers) and embeddings (SentenceTransformers).
- Experience deploying and managing models on cloud infrastructure (ideally GCP suite).
- Familiarity with CI/CD tools (Docker, Jenkins or equivalent).
- Strong interest in getting things into production.
- Strong analytical and problem-solving mindset.
- Fast learner, high ownership, structure, and execution speed.
- Fluent in French and English.
- Paris based (Paris office / remote).
Nice to have:
- Experience with workflow orchestration tools (Airflow or equivalent).
- Experience managing GPU servers for model training and serving.
- You have a first experience in B2B SaaS startup.
- Knowledge of general IT good practices - maintainable and commented code, GitHub…
Additional Information ℹ️
- Competitive salary and company bonus (up to 18K€ per year depending on company’s performance).
- 38 days of holidays/year.
- Alan Blue: Comprehensive 100% premium medical coverage for you and your family.
- Swile Meal Tickets: Enjoy daily meal tickets to fuel productivity.
- Navigo Card: Seamless commuting with a 100% covered Navigo card.
- Gear: Get the laptop, tools, and equipment you need for your job.
- Team building: We all meet once per year at really cool places around the world (check our video here).
Recruitment Process 🚀
- 1st call with Victoire our TAM & Ahmed our AI Engineer.
- Live technical interview with Ahmed & Eliott - Lead data.
- Interview with Charles, CEO.
- Reference Check & Offer.