GTM Engineer

• About Lablup

  We are a company providing machine learning platforms and solutions under the motto 'Make AI Accessible'. Lablup strives to solve various problems that arise when sharing scientific and engineering research processes through a standardized platform, and automates all stages of research and service. We develop and service Backend.AI to realize this vision. Backend.AI, a hyperscale AI platform, reduces the difficulties in developing and serving various AI models, from small-scale AI models to large language models.

• About GTM Engineer at Lablup

  Lablup’s GTM Engineers take technical ownership of the journey from our product reaching a customer’s hands to being put to real use. They validate in customer environments what problems Lablup’s products can solve in the field, and deliver product training and onboarding in language that customers and partners can understand. They identify the problems customers truly want to solve, propose how Lablup’s products can address them, and bring field and customer needs back to the development team to improve product quality and features. By using Lablup’s products hands-on more often than anyone, they proactively suggest direction and solve problems.

• Key Responsibilities

  (You won’t take on all of the responsibilities below from day one. You’ll start with one or two that match your strengths and gradually expand your scope.)

  • PoC Technical Support: Install and configure our products in customer environments and validate requirements; map RFPs and feature checklists to product capabilities, and propose alternatives that leverage the strengths of Lablup’s products where gaps exist
  • Training & Onboarding: Design and deliver product training tailored to each audience, from customer administrators to overseas partner engineers and internal sales teams
  • Technical Documentation: Write user manuals, installation guides, and FAQs based on hands-on product experience (Korean and English)
  • Sales Materials & Demos: Create product introductions, demo scenarios, and demo environments that make the product’s value clear at a glance; deliver demos and presentations at customer meetings and at domestic and international exhibitions and conferences
  • Product Quality Validation & Feedback: Validate features before release, and propose improvements after release based on field feedback and customer needs
  • Overseas Partner Support: Support product training and joint sales with overseas partners in the UK, Singapore, and other regions
• We’re Looking For Someone Who...
  • has “sold” a technology or product they love to people around them, and keeps changing their explanation until the other person gets it
  • asks “Why do they want this?” before passing along a customer’s request, and can propose a solution using our products
  • enjoys keeping up with new technologies and market trends, digs deep, and keeps expanding their own domain
• Basic Qualifications
  • No prior experience required (new graduates welcome)
  • Ability to explain complex technologies at the audience’s level
  • Basic knowledge of computer science and AI (core OS and networking concepts, the difference between model training and inference, how LLMs work, etc.)
  • Understanding of the role GPUs and other AI accelerators play in AI workloads
  • Understanding of how software products are developed, deployed, and delivered to customers
  • Basic understanding of the Linux command line, Docker containers, and CI/CD
  • Strong written and in-person communication skills
  • Able to travel domestically and internationally and visit customer sites
• Preferred Qualifications
  • Experience in pre-sales, solutions engineering, technical support, technical training, technical writing, or related roles in software products or IT infrastructure
  • Experience mapping customer requirement documents (RFPs, feature checklists, etc.) to product capabilities
  • Experience researching competing products and creating comparative analyses
  • Experience introducing or presenting products in English, or leading meetings with overseas companies
  • Interest in or hands-on experience with various AI accelerators (NVIDIA, AMD, Korean NPUs, etc.) and LLM serving (vLLM, etc.)
  • Experience writing automation scripts in Python or similar languages, and actively using LLMs and AI coding tools at work
  • Experience with technical blogging, teaching, conference talks, or open-source contributions
• Hiring Process

  Document Screening → 1st Interview (Role-based) → 2nd Interview (Presentation) → Final Interview → Compensation Discussion → Final Offer

  • Document Screening: Along with your resume, we encourage you to share links to technical articles, documents, presentation materials, or project work you’ve created. (Any format; optional)
  • Presentation Assignment: Choose one of the topics we provide in advance and give a 15-minute presentation explaining it to a non-technical audience, followed by Q&A.
• Benefits and Perks
  • Fitness stipend
  • Welfare points
  • Lunch meal support
  • Complimentary snacks always available
  • Annual comprehensive or semi-comprehensive health checkup for employee and spouse
  • Opportunities to participate in developer communities and industry events
  • Employee benefits as a certified family-friendly workplace by the Ministry of Gender Equality and Family