- Locations
- Paris, France
- France
- Last Published
- Jan. 13, 2025
- Sector
- AI/ML
- Functions
- IT
- Operations
Role Summary We are seeking a highly skilled and motivated Technical Program Manager to join our Science team and focus on managing our science operations. This individual will play a pivotal role in managing our model training and deployment processes, ensuring alignment with product timelines and overall business objectives.
Key Responsibilities
- Program Management: Oversee and manage our pipeline of models and deployment processes, ensuring efficiency, effectiveness, and alignment with product timelines.
- Organization: Organize continuous testing sessions to evaluate release candidates, gather feedback and improve models and products.
- Collaboration: Work closely with cross-functional teams, including the science and product teams, to ensure alignment of science operations with overall product and business objectives. Track project progress, timelines, and resources.
- Process Improvement: Continuously identify and implement process improvements to enhance the efficiency and productivity of the science team.
- Stakeholder Management: Regularly communicate with stakeholders to provide updates on program status, risks, and issues, and to manage expectations.
- Risk Management: Identify potential risks and issues in the program lifecycle and develop contingency plans to mitigate them.
Qualifications & profile
- Education: A degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) is required.
- Experience: Minimum of 5 years' experience in managing technical programs, preferably in a science-related field.
- Knowledge: Strong understanding of model training and deployment processes, as well as science operations
- Skills: Excellent project management skills, with the ability to manage multiple projects simultaneously. Great communication and stakeholder management skills are also essential.
- Personal Attributes: Highly organized, detail-oriented, and able to work well under pressure. A proactive problem-solver with a continuous improvement mindset. Nice to have:
- Experience with MLOps and AI model deployment.
- Familiarity with cloud computing platforms.