AI Engagement Manager - Gen AI
Client Delivery / Generative AI · 3–5 years · Full-time · Korea · Open
About EBIT
EBIT started as an AI data company specializing in building, validating, and operating the high-quality training data that AI model development requires, and is now an AI solutions company expanding into Enterprise AI, Global GTM, and Physical AI.
EBIT provides an integrated data build service covering the entire process from data design to collection, processing, and quality control, along with custom data solutions optimized to each client's requirements. Since 2024 we have worked with big tech companies in Korea and abroad on high-complexity domain data projects across language, coding, STEM, and finance, establishing ourselves as an APAC partner. We are now growing fast, expanding into Enterprise AI solutions for corporate clients, Global GTM, and Physical AI areas such as robotics and autonomous driving.
About the Role
This is a dedicated account role for global generative AI clients: you understand the client's direction for developing and improving LLMs and generative AI models and the data requirements of their training and evaluation, and turn them into AI training and evaluation data projects.
As the key link between the client and EBIT's project, data, and operations teams, you are responsible not only for successful delivery but also for client relationships, new project discovery, and long-term partnership growth.
Responsibilities
Own global generative AI accounts and partnerships
Stay close to the client to keep understanding their direction for LLM and generative AI model development and improvement, their training and evaluation approach, and their data requirements, and build long-term partnerships.
Analyze client requirements and shape generative AI data projects
Analyze the client's training and evaluation requirements and turn them into executable AI data projects: SFT data, preference data, human feedback, expert evaluation, model response evaluation, and data collection and processing.
Coordinate between the client and internal project teams
Clearly convey client requirements to internal program managers and the data, operations, and quality teams, and coordinate scope, schedule, quality criteria, and key deliverables so they meet the client's expectations.
Manage data quality and operational KPIs
Monitor key metrics such as quality/acceptance rate, throughput, TAT, capacity, and cost, and manage quality and KPIs continuously based on data.
Discover new projects and account expansion opportunities
Keep track of the client's LLM and generative AI roadmap and model improvement direction to identify new training and evaluation data needs and pilot projects, and expand the scope of collaboration with existing clients.
Requirements
- Education: Bachelor's degree or higher (any major; business, economics, industrial engineering, computer science, statistics, or information systems preferred)
- Experience: 3+ years in AI data project management, operations, consulting, or a related field
- (Required) English communication skills sufficient to work with global clients
- Basic understanding of LLMs, generative AI, and how AI models are trained and evaluated
- Ability to understand enterprise client requirements and turn them into concrete requirements the internal project team can execute
Preferred
- Experience on projects related to LLMs, generative AI, or AI model training and evaluation
- Understanding of or experience with LLM training and evaluation data such as SFT, RLHF, preference data, human feedback, and model evaluation
- Experience analyzing and resolving client issues or project problems based on data and KPIs
