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KRAFTON

Develops and publishes cross-platform games

Head of AI Product Development

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listed

About the Job

Requirements

  • Possess at least 10 years of software development experience and have led major architecture decisions and technical problem-solving throughout product design, development, launch, and operation.
  • Possess at least 3 years of engineering leadership experience, including personally setting goals, assigning roles, recruiting, coaching, and evaluating performance in an engineering organization spanning multiple teams.
  • Collaborate with product owners, business stakeholders, and other technical organizations to make evidence-based trade-offs among customer value, development schedules, quality, and operating costs.
  • Have applied large language models or generative artificial intelligence to real products and improved quality, response speed, and cost.
  • Use coding agents in real development work and personally judge and validate AI-generated code and designs; be able to confirm solution directions through prototypes or experiments when needed.
  • Learn new technologies quickly and clearly explain to team members the rationale for adopting them and the scope of their application.
  • Have no disqualifying circumstances for overseas business travel.

Responsibilities

  • Work with product owners to translate customer needs into technical tasks and coordinate development scope and schedules according to business priorities.
  • Decide product architectures and major technologies through the chapter to avoid fragmentation of technology stacks across squads.
  • Resolve important technical bottlenecks by participating directly in design reviews and prototyping, helping proofs of concept proceed to production.
  • Create proof-of-concept environments for quickly comparing and evaluating new models and application programming interfaces, and evaluate artificial intelligence features using real usage scenarios and data.
  • Compare failure cases and changes in quality, response speed, and cost before and after changes, and use findings to improve products; determine whether quality meets the standard customers will pay for and summarize results for product owners’ business decisions.
  • Establish development environments in which artificial intelligence coding tools can understand codebase, product context, and development rules and perform repetitive tasks such as writing tests and configuring deployments.
  • Set review criteria for people to evaluate AI-generated code and designs, and enable rapid validation through test automation.
  • Evaluate new AI development tools against productivity, quality, and security criteria and decide whether to adopt them; spread effective practices across squads through guides and seminars.
  • Build shared development and operations foundations, including development templates, continuous integration and continuous delivery, cloud infrastructure, and monitoring, to reduce repeated development costs and accelerate feature releases.
  • Set implementation scope and maintenance ownership according to business priorities, identify and resolve accumulating technical debt, and collaborate with infrastructure, security, and other departments to improve reliability and cost efficiency for product launches and operations.
  • Identify engineering capabilities needed for business plans and lead recruiting and onboarding by creating job descriptions, technical assignments, and interview criteria.
  • Support team members’ growth through regular one-on-one meetings, mentoring, technical talks, and code reviews, and share technical knowledge across squads.
  • Work with product owners to lead performance evaluations grounded in actual contributions and support career development.

Desired Qualifications

  • Experience as a chief technology officer, head of engineering, or engineering manager jointly leading early product commercialization and the growth of an engineering organization.
  • Experience leading engineers across multiple teams in a matrix organization while establishing both team autonomy and shared development standards.
  • Experience turning research-organization models or new AI technologies into product features and launching them.
  • Experience clarifying requirements with business-to-business customers or external technology partners and converting proofs of concept into actual adoption.
  • Experience establishing evaluation datasets, automated evaluation, call tracing, and regression validation systems for AI agents, search and retrieval-augmented generation, conversational, or multimodal products.
  • Experience building and spreading developer platforms, shared libraries, or tools and skills for coding agents to improve development productivity or operational quality.

About the Company

KRAFTON

Develops and publishes cross-platform games

Krafton is a group of independent game studios that develops and publishes video games for PC, console, and mobile. Its business model centers on delivering high-quality games and monetizing them through game sales, in-game purchases, and licensing deals, with PUBG as a flagship title. Krafton differentiates itself by coordinating a network of studios and investing in technology and publishing support rather than relying on a single in-house studio, enabling a diverse catalog and esports initiatives. Its goal is to push the boundaries of gaming and connect people through shared entertainment moments across platforms.

Company size
51-200
Company stage
IPO
Headquarters
Seongnam-si, South Korea
Founded
2007

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