Data Operations Manager
Lead cross-functional operational initiatives and technical implementation projects supporting high-quality datasets and AI and machine learning solutions. The role is flexible-first, with employees choosing where to work and regular in-person events.
Responsibilities
- Design, implement, and scale operational processes for onboarding, ongoing operations, and future growth.
- Lead technical implementation projects from end to end across product, engineering, machine learning, and operations teams.
- Own KPIs, optimize processes, and drive continuous operational improvement.
- Bring AI and machine learning solutions into production through operationalization and rollout.
- Own complex operational challenges and deliver measurable business impact.
Requirements
- At least 2 years of experience in data operations, technical operations, project management, or a related field.
- At least 2 years of experience in an R&D environment.
- Professional proficiency in English.
- Strong analytical, organizational, and problem-solving skills.
Nice to have
- Experience leading technical implementation or integration projects.
- Experience with computer vision, AI, or machine learning products.
- Experience with large-scale data annotation or data quality operations.
- Experience working with large-scale datasets.