
AI Engineering Manager
- Paris
- CDI
- Temps-plein
- Lead, mentor, and grow a cross-functional squad responsible for the post-processing, evaluation, and performance monitoring of GenAI-generated catalog content.
- Manage the technical roadmap and priorities for your team, ensuring alignment with broader organizational goals.
- Design, deploy, and continuously improve model evaluation frameworks and trust-building metrics (such as factual accuracy, hallucination rate, and user perception).
- Build and maintain post-processing components to ensure the clarity, structure, and reliability of GenAI outputs.
- Identify and resolve pain points within the Catalog Transformer; develop and implement monitoring and optimization frameworks.
- Manage the ground truth data pipeline, including annotation workflows and feedback loops, to enable continuous model improvement.
- Develop and maintain internal tooling for Sales, Customer Success, and Support to assess and monitor output quality for each client or use case.
- Engage with stakeholders to define, track, and optimize critical KPIs, and support business teams in data-driven decision-making.
- Collaborate closely with Data Science, Product, and Engineering teams to advance model fine-tuning, transparency, and overall performance.
- Work closely with Engineering Managers and other software squads to promote technical best practices and foster cross-team collaboration.
- Collaborate with pre-sales teams to enable and create proofs of concept for clients.
- Strong skills in model evaluation, post-processing, and data/ML pipelines (Python, SQL, Spark, Airflow)
- Experience building internal tools for enablement or client-facing insights
- Experience with GenAI model evaluation and AI system monitoring
- Experience in AI project production launch and run
- Familiarity with annotation workflows and human-in-the-loop evaluation
- Hands-on technical expertise, with 1-3 years' experience as a Lead or junior Engineering Manager (team management or technical leadership)
- Strong leadership and ability to motivate and unite a technical team
- Very good professional proficiency in English, bilingual a plus
- Adaptability and agility in a fast-paced environment
- Excellent analytical, problem-solving, and strategic thinking abilities
- Results-oriented with a proactive, challenging mindset
- Ability to challenge and support business stakeholders in their thinking and decisions
- Technical interview (1 hour30, video call) with our Senior Data Manager: deep dive into your expertise and experience
- Values & culture interview (2 rounds of 45 min') with team members to assess your fit with Mirakl's culture.
- Shape the AI quality & trust strategy behind one of Mirakl's most strategic products
- Connect GenAI performance with business success through smart tooling and evaluation
- Work at the intersection of AI, Product, and Client Experience in a fast-growing ecosystem
- Shape the development of a Pioneering AI Catalog onboarding tool, being in contact with cutting-edge technologies and technical stacks