Head of AI Product Dev Chapter, AI Frontier Division (10+ years)

Introducing our team (project). 

• The AI Frontier Division is the organisation that connects KRAFTON's AI technology to real products and services, and validates and scales new business opportunities. Several Squads pursue business for different customers and markets, and each Squad is responsible from product development through service operation to business results. Based on customer needs and actual usage results, we improve products and expand services whose business potential has been confirmed.
• The AI Product Dev Chapter is the organisation responsible for the technical capabilities and growth of its engineers. The PO of each Squad leads the product and business, while the Chapter handles technical direction, development quality, shared foundations and talent development. The architecture and key technologies of products developed and operated by the Squads are decided by the Chapter. The Chapter's goal is to speed up how quickly the Squads' AI technology leads to customer value and revenue.
• Some of the AI products made by the Squads are entering the stage of launching and operating with real customers. To release features that meet customer needs on time, we must set development scope and schedules in line with business priorities, and resolve technical bottlenecks while considering product quality and operating costs. The Chapter leads this process together with the POs, and develops the experience gained across several Squads into shared development capabilities for the whole Division.
• The person joining us will, as Chapter Head, lead technical decision-making for each product and the shared development and verification system, recruit and develop engineers, and build the Chapter's way of working.

 

Introducing the missions you will take on with our team.

• Product technical decision-making: Together with the PO, we turn customer needs into technical challenges and coordinate development scope and schedules in line with business priorities. To keep the Squads' technology stacks from fragmenting, the Chapter decides the architecture and key technologies of each product. To ensure PoCs carry through to production, we directly take part in design reviews and prototyping to resolve critical technical bottlenecks.
• AI technology PoCs and quality verification: We build PoC environments that allow new models and APIs to be compared and evaluated quickly, and evaluate AI features with real usage scenarios and data. We compare failure cases and quality, response speed and cost before and after changes, and link these to product improvements. Evaluation also confirms whether quality is good enough for customers to pay for, and results are organised so the PO can use them for business decisions.
• AI-driven development productivity: We set up development environments so AI coding tools can understand the codebase, product context and development rules, and take on repetitive tasks such as writing tests and deployment configuration. We establish review criteria so people can judge code and designs produced by AI, and use test automation to verify them quickly. New AI development tools are adopted after evaluation against productivity, quality and security criteria, and good practices found by members are spread across all Squads through guides and seminars.
• Shared development and operations foundations: We build shared foundations such as development templates, CI/CD, cloud and monitoring to reduce repeated development costs and enable new features to be released quickly. In line with business priorities, we decide the scope of application and maintenance ownership, and find and resolve accumulating technical debt. We collaborate with various departments, including infrastructure and security, to release and operate products, improving stability and cost efficiency.
• Engineer recruitment, growth and evaluation: We define the engineering capabilities needed for the business plan and lead recruitment and onboarding by creating job descriptions, technical assignments and interview criteria to verify them. Through regular 1on1s, mentoring, tech talks and code reviews, we support members' growth and share technology across Squads. Working with POs, we lead performance evaluation and career development based on actual contributions.

 

We want to grow with someone who has these experiences! (Required)

• Over 10 years of software development experience, and has led major architecture decisions and technical problem-solving across the full product lifecycle of design, development, launch and operation
• Over 3 years of engineering leadership experience, and has personally carried out goal setting, role allocation, recruitment, coaching and performance evaluation in an engineering organisation spanning several teams
• Able to work with POs, business leads and other technical organisations, and to coordinate priorities between customer value, development schedule, quality and operating cost on a well-reasoned basis
• Has applied LLMs or generative AI in real products and improved quality, response speed and cost issues
• Uses coding agents in actual development, can directly judge and verify the appropriateness of AI-generated code and designs, and can confirm solution directions through prototypes or experiments when needed
• Able to learn new technologies quickly and clearly explain to members the reasons for deciding whether to adopt them and their scope of application
• No obstacles to overseas business travel

 

If you have these experiences, you are the person we are looking for! (Preferred)

• Experience as CTO, Head of Engineering, Engineering Manager or similar, leading the commercialisation of an early-stage product and the growth of an engineering organisation together
• Experience leading engineers across several teams in a matrix organisation, establishing both each team's autonomy and shared development standards
• Experience turning models or new AI technologies from a research organisation into product features and launching them
• Experience refining requirements with B2B customers or external technology partners and turning PoCs into actual adoption
• Experience building evaluation data, automated evaluation, call tracing and regression verification systems for AI agents, search and RAG, conversational or multimodal products
• Experience building developer platforms, shared libraries, or tools and skills for coding agents, and spreading them across an organisation to improve development productivity or operational quality

 

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To take on KRAFTON's challenges with us, the following selection process is required.

• Resume screening > Preliminary interview (Phone Interview) > *Assignment stage > Personality assessment (Personality Assessment) > Technical fit interview (Technical Fit Interview) > Comprehensive interviews (2-3 rounds) (Culture Fit Interview) > Offer and joining
• *This process may vary depending on each position and candidate.
• This is an ongoing recruitment and may close early once the position is filled.
• Additional interviews and job tests may be added if necessary.
• Schedules and pass or fail results will be notified individually by the email or phone number registered in your application.

 

Please check the required documents!

• Application form (free format), cover letter, career description, portfolio (if required)
• For new graduates, please focus on the cover letter; for experienced candidates, please focus on the career description.
• When attaching a portfolio, please check the guidelines below. 
  

 

Work location

• Yeoksam Centerfield

 

Employment type 

• Specialist fixed-term contract