Technical Project Manager

Join our Applied AI team as a Technical Project Manager. You will lead large-scale multilingual data collection, human-in-the-loop workflows, and Large Language Model (LLM) evaluation initiatives. This role combines technical project management with hands-on data analysis and a strong operational understanding of modern LLM training and evaluation processes. You will manage projects from technical scoping through validation, delivery, and retrospective review, and work closely with AI specialists, engineering teams, specialized Subject Matter Experts (SMEs), and data operations teams.

• Gérer des projets de collecte de données et d'évaluation en intelligence artificielle, de la définition technique à la validation.
• Traduire les exigences techniques en spécifications de données structurées, en exigences d'annotation et en plans d'évaluation.
• Coordonner la collecte de données et l'annotation pour l'affinage supervisé, les données de préférence et l'évaluation des modèles.

• Experience partnering with engineers to manage technical requirements, dependencies, and issue resolution
• Experience managing complex workflows using Agile, Scrum, or Kanban
• Strong communication skills, including the ability to translate technical requirements for multilingual audiences and diverse global contributor networks
• Proficiency in SQL for analyzing delivery velocity, data quality metrics, and cost structures
• Proven ability to track and optimize project unit economics (cost per token/task) and delivery velocity
• Strong understanding of LLM training and evaluation concepts, including SFT, RLHF, human evaluation, automated evaluations, LLM-as-a-judge, and red teaming
• Working knowledge of data pipelines, structured data formats, APIs, and validation processes
• 3–5+ years of technical project management experience in AI/ML, data platforms, or technical data operations
• Experience using Python or scripting tools for data analysis, workflow automation, or evaluation scripting
• Experience with annotation platforms, automated evaluation tools, business intelligence tools, and Jira
• Experience managing high-skill Subject Matter Experts (SMEs) or specialized contributor networks across technical domains
• Experience delivering complex multilingual or multimodal data projects
• Background in computer science, data science, engineering, or equivalent practical experience
• Fluency in an additional language