Product/Engineering Manager

MLOps Platform


  • Manage big data and machine learning resources in a scalable, secure and cloud-agnostic MLOps environment
  • Develop and manage reliable, scalable services and client libraries that operate on massive data in both on-premise and cloud environments
  • Establish toolchains that enable engineers to operate services across various on-premise, cloud and hybrid environments
  • Building services, products, and infrastructure based on distributed machine learning systems
  • Establishing engineering leadership through clear feedback to team members, supporting career development, coordinating team resources, fostering collaboration, and ensuring effective team coordination
  • Set up best practices in processes such as architecture and testing, as well as introducing a culture of technical excellence
  • Collaborating with technical and product leadership to establish long-term roadmaps


  • Experience in developing and operating large-scale distributed web services, including tasks such as testing, monitoring, and managing SLAs
  • Experience in developing innovative technical features in collaboration with product/project managers, technical sales teams, and customers
  • 5+ years of developer experience and 2+ years of product/engineering manager experience


  • Email your resume to
  • Use the following email title format: [Application] (REC-year-num) Your_Name
  • Example: [Application] (REC-2023-08) John_Wick.
  • Make sure that your application code (REC-year-num) is correct.
  • Attach your resume in PDF format.
  • Feel free to include any necessary information in your resume. However, be concise and to the point.

Key Dates

  • Application (접수): 2023/07/17 ~ 2023/07/28
  • Screening (서류심사): ~ 07/31
  • Online interview (온라인인터뷰): 07/31 ~ 08/04
  • Onsite interview (현장면접): 08/07 ~ 08/18
  • Decision (결과): ~ 08/25


Posted: 2023-07-17
Code: REC-2023-09