The AI Operations Manager will oversee AI data projects, manage client consultations, and ensure project delivery meets quality standards.
About SuperAnnotate
SuperAnnotate is a fast-growing, Series B startup revolutionizing the field of AI-data Infrastructure. We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate has a fully customizable platform for building annotation tools and workflows that AI projects demand—while unifying the management of all teams, vendors, and data in one place. We’re very proud to have products that are loved by our customers, resulting in us being listed as the highest-ranked platform on G2.
The Impact You'll Make
We are seeking an experienced AI Operations Manager to oversee and drive the execution of AI data projects. In this role, you will manage the entire lifecycle of data creation projects for enterprise clients, from initial client consultation through final delivery. This position blends consulting-minded problem-solving, meticulous attention to detail, client-facing skills, and strong project management capabilities.
You will act as the central point of contact for clients and internal teams, ensuring projects are well-defined, resources are optimized, and outputs meet the highest standards. While you don’t need to be deeply technical, you should be comfortable working with data, understanding technical requirements, and performing hands-on work when needed to assess project needs and guide teams effectively—all while maintaining a sharp focus on quality, timelines, and client satisfaction.
What You'll Do
- Lead and manage AI program execution and data creation projects, ensuring timely and successful delivery for enterprise clients and operational enablement for ML/LLM teams.
- Translate complex objectives into clear milestones and measurable impact, developing detailed project plans, workflows, timelines, and resource allocation frameworks.
- Monitor project scope, communicate changes, and ensure alignment with client expectations.
- Collaborate with the hiring team to hire, onboard, and manage annotators to ensure they meet project-specific requirements.
- Guide teams to ensure proper technical setup and workflow execution.
- Communicate technical requirements and challenges effectively between annotators, clients, and internal teams.
- Conduct regular spot checks and quality reviews of output to ensure data meets client standards.
- Implement processes to track and improve quality metrics.
- Continuously refine workflows and tools to enhance efficiency and deliver optimal outcomes.
What You'll Bring
- 2+ years of client-facing program or project ownership, ideally within AI, data operations, consulting, or technical services.
- 1-2 years in a technical solutions, sales engineering, or customer-facing role within Professional Services or Systems Engineering.
- Experience with coding and querying languages such as SQL to conceptualize project requirements.
- Solid grasp of AI/ML principles and workflows, including hands-on work with data annotation platforms.
- Exceptional organizational and detail-oriented mindset.
- Strong analytical and problem-solving abilities.
- Excellent communication and storytelling skills to bridge technical and non-technical audiences.
- Bachelor’s degree in a technical field (e.g., Computer Science, Engineering, Data Science) or equivalent experience.
Nice To Have
- Experience leading AI data operations, delivery programs, or annotation teams at scale.
- Familiarity with data quality metrics and processes for AI training datasets.
- Knowledge of large language models (LLMs) or other advanced AI technologies.
- Strong coding experience in one or more coding languages (Python preferred).
Only shortlisted candidates will be contacted for an interview!
Equal Opportunity
We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more.
Top Skills
AI
Data Annotation Platforms
Ml
Python
SQL
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