TA Talk
The Price Intelligence Team at Yanolja NEXT is a group that uses Yanolja's vast and complex data to develop AI-based dynamic pricing and price optimization solutions. The goal is to drive revenue innovation in the leisure industry.
In partnership with various teams, including the system platform team, data engineering, operations, and sales, the team discovers and solves complex, comprehensive pricing-related problems. This plays a key role in hyperconnecting all leisure activities and moving Yanolja closer to its vision.
The global accommodation market is rapidly changing, and the team is building an intelligent pricing system that provides optimal prices in real time, using the latest machine learning technology and extensive data.
We are looking for a talented Software Engineer with over 5 years of experience to maximize the productivity and usability of dynamic pricing and other price-related machine learning (ML) product systems. We prefer candidates with a deep understanding of software architecture and knowledge and experience with data structures and data modeling.
Over a year of engineering experience in a cloud environment and experience processing high-volume traffic are essential. DevOps experience, ML/DL model productionization experience, and monitoring and automation project experience are a plus. We are actively seeking engineers who enjoy learning and growing in a rapidly changing technical environment and who want to grow with the team. 🙌
What You Will Do
Develop AI/ML Models and Build Automation Pipelines for Pricing
- Develop dynamic pricing models that reflect the pricing policies of Yanolja and its domestic and international members.
- Build end-to-end ML pipelines from data collection and preprocessing to training, deployment, monitoring, and evaluation.
- Operate automated performance monitoring and tuning systems to improve the real-time prediction accuracy of models.
- Design scalable modeling and deployment structures that consider various business situations.
Service Operations and Interface Development
- Design and implement a back office to improve the usability of dynamic pricing models.
Plan and Implement AI-Based Data Analysis Tools
- Plan and develop conversational Price Analysis AI agents.
- Design interactive analysis features and a natural language interface for internal users.
- Incorporate a continuous learning and feedback structure to improve analysis accuracy and response quality.
What is Required
- Over 5 years of practical development experience or equivalent skills.
- Understanding of data structures, data modeling, and software architecture.
- Experience in developing and deploying services in a cloud environment.
- Experience in productionizing ML/DL solutions.
- Ability to independently define problems, set directions, and take the initiative to execute.
- Ability to quickly learn and apply new technologies and knowledge.
How to Stand Out
- Possess skills in data engineering (distributed processing) and system design.
- Experience in productionizing LLMs, conversational AI agents, etc.
- Experience in handling high-volume traffic and real-time data streaming.
- Experience with MLOps.
What We Offer
For Happy Makers to work happily:
- KRW 1M Yanolja app points annually (extra KRW 500K on your 5th work anniversary)
- Meal allowance: KRW 2.88M per year (KRW 12K/day)
- Flexible leave options (half-day/quarter-day off)
- Birthday bonus and early leave
For Happy Makers to grow continuously:
- Learning & development budget
- English education programs
- MyBook service (KRW 200K/year for job-related books)
For Happy Makers and their families:
- Holiday bonuses (KRW 400K/year)
- Group accident & liability insurance (spouse and children included)
- Childcare allowance (KRW 1.2M/year for children under 6)
- Childbirth gift package for new parents
- Nursing/mother’s room
- Flu vaccination support
(Benefits are subject to change depending on company policy.)
Hiring Process
Application → Coding Test → Interviews (2 rounds including virtual coding interview) → Offer Discussion → Final Offer
Additional Information
- Please exclude personal details prohibited under the Fair Hiring Procedure Act (e.g., resident registration number, family relationships, marital status).
- Depending on the situation, additional tasks, interviews, or reference checks (with your consent) may be conducted.
- Veterans and persons with disabilities will be given preference in accordance with relevant laws.
- Applicants must be eligible for overseas travel. Any false information or misconduct discovered at any stage may lead to cancellation of employment.
- Yanolja does not accept unsolicited resumes from search firms.
Who We Are
With the vision of becoming Global No.1 Travel Tech, Yanolja NEXT aims to make travel 10x easier through hyper-connected travel technologies built on data and people. By connecting fragmented global travel information and data, we are leading innovation in the global travel market. Through active collaboration across our global entities, we are shaping the future of travel tech together.
Contact Point
Sang Su Kim, Talent Acquisition Partner
TA Talk
The Price Intelligence Team at Yanolja NEXT is a group that uses Yanolja's vast and complex data to develop AI-based dynamic pricing and price optimization solutions. The goal is to drive revenue innovation in the leisure industry.
In partnership with various teams, including the system platform team, data engineering, operations, and sales, the team discovers and solves complex, comprehensive pricing-related problems. This plays a key role in hyperconnecting all leisure activities and moving Yanolja closer to its vision.
The global accommodation market is rapidly changing, and the team is building an intelligent pricing system that provides optimal prices in real time, using the latest machine learning technology and extensive data.
We are looking for a talented Software Engineer with over 5 years of experience to maximize the productivity and usability of dynamic pricing and other price-related machine learning (ML) product systems. We prefer candidates with a deep understanding of software architecture and knowledge and experience with data structures and data modeling.
Over a year of engineering experience in a cloud environment and experience processing high-volume traffic are essential. DevOps experience, ML/DL model productionization experience, and monitoring and automation project experience are a plus. We are actively seeking engineers who enjoy learning and growing in a rapidly changing technical environment and who want to grow with the team. 🙌
What You Will Do
Develop AI/ML Models and Build Automation Pipelines for Pricing
- Develop dynamic pricing models that reflect the pricing policies of Yanolja and its domestic and international members.
- Build end-to-end ML pipelines from data collection and preprocessing to training, deployment, monitoring, and evaluation.
- Operate automated performance monitoring and tuning systems to improve the real-time prediction accuracy of models.
- Design scalable modeling and deployment structures that consider various business situations.
Service Operations and Interface Development
- Design and implement a back office to improve the usability of dynamic pricing models.
Plan and Implement AI-Based Data Analysis Tools
- Plan and develop conversational Price Analysis AI agents.
- Design interactive analysis features and a natural language interface for internal users.
- Incorporate a continuous learning and feedback structure to improve analysis accuracy and response quality.
What is Required
- Over 5 years of practical development experience or equivalent skills.
- Understanding of data structures, data modeling, and software architecture.
- Experience in developing and deploying services in a cloud environment.
- Experience in productionizing ML/DL solutions.
- Ability to independently define problems, set directions, and take the initiative to execute.
- Ability to quickly learn and apply new technologies and knowledge.
How to Stand Out
- Possess skills in data engineering (distributed processing) and system design.
- Experience in productionizing LLMs, conversational AI agents, etc.
- Experience in handling high-volume traffic and real-time data streaming.
- Experience with MLOps.
What We Offer
For Happy Makers to work happily:
- KRW 1M Yanolja app points annually (extra KRW 500K on your 5th work anniversary)
- Meal allowance: KRW 2.88M per year (KRW 12K/day)
- Flexible leave options (half-day/quarter-day off)
- Birthday bonus and early leave
For Happy Makers to grow continuously:
- Learning & development budget
- English education programs
- MyBook service (KRW 200K/year for job-related books)
For Happy Makers and their families:
- Holiday bonuses (KRW 400K/year)
- Group accident & liability insurance (spouse and children included)
- Childcare allowance (KRW 1.2M/year for children under 6)
- Childbirth gift package for new parents
- Nursing/mother’s room
- Flu vaccination support
(Benefits are subject to change depending on company policy.)
Hiring Process
Application → Coding Test → Interviews (2 rounds including virtual coding interview) → Offer Discussion → Final Offer
Additional Information
- Please exclude personal details prohibited under the Fair Hiring Procedure Act (e.g., resident registration number, family relationships, marital status).
- Depending on the situation, additional tasks, interviews, or reference checks (with your consent) may be conducted.
- Veterans and persons with disabilities will be given preference in accordance with relevant laws.
- Applicants must be eligible for overseas travel. Any false information or misconduct discovered at any stage may lead to cancellation of employment.
- Yanolja does not accept unsolicited resumes from search firms.
Who We Are
With the vision of becoming Global No.1 Travel Tech, Yanolja NEXT aims to make travel 10x easier through hyper-connected travel technologies built on data and people. By connecting fragmented global travel information and data, we are leading innovation in the global travel market. Through active collaboration across our global entities, we are shaping the future of travel tech together.
Contact Point
Sang Su Kim, Talent Acquisition Partner