AI Operation Manager
Imagen
Software Engineering, Data Science
Posted on May 21, 2026
AI Operation Manager
- Product
- careers
- Intermediate
- Full-time
Description
We are seeking a highly organized and detail-oriented Operations Manager with a strong background in complex project management and a passion for AI technology and photography.
As the Operations Manager you will coordinate outsourced data tagging tasks, acting as a keystone between the product and AI teams to external partners and play a pivotal role in ensuring the seamless execution of tasks, a critical component of our AI algorithms for photographers.
Responsibilities
- Requirement Gathering: collaborate closely with the product and AI team to gather and understand the task requirements.
- Task Planning: create comprehensive project plans that outline the technical description, goals, scope, timeline, and resources required for each task.
- Task Monitoring: continuously monitor the progress, track success criteria, and address any issues or delays promptly.
- Quality Control: conduct regular quality assessments of the annotated data from outsourcing agencies, ensuring alignment with our strict quality benchmarks.
- Team Collaboration: act as the primary point of contact between the teams, providing regular updates on project status and addressing any questions or concerns in a positive and collaborative manner.
- Enhancement and Refinement: actively seek feedback, both internally and from outsourcing partners, to iterate on and improve the annotation process and outcomes.
Requirements
- Minimum of 2 years of experience in operations management, data tagging, project management or related role.
- Experience working with outsourcing teams and managing remote collaborators.
- Analytical mindset, decision-making, and risk management capabilities.
- Outstanding organizational skills, matched with the agility to multitask in a dynamic startup setting.
- Familiarity/background in AI fields and photo - tagging processes is a huge advantage.
- Excellent written and spoken English.