Develop algorithms to turn plant and mechanical drawings into structured data, extracting symbols, dimensions, and notes and converting customer problems into reusable technology.
Stockmark is a Tokyo-based enterprise AI company developing generative AI systems for knowledge-intensive work. Its Aconnect agent analyzes news, patents, papers, government reports and internal documents for manufacturing R&D teams, supporting technical research, risk detection and product planning.
Its SAT platform structures complex documents, diagrams and tacit knowledge for use by AI, and supports the design, testing and operation of retrieval-augmented agents. Stockmark offers Aconnect as AI SaaS and SAT as AI PaaS, together with implementation and business-process redesign services. It also develops Japanese-language large language models.
- Remote or hybrid
- 100%
- Most requested
- Generative AI / LLM 10
- Machine learning 5
- Python 5
- AWS 4
- Docker 4
- TypeScript 4
- JLPT N2 1
- Japanese posting, level unstated 15
- Common areas
- Backend engineering 3
- Frontend engineering 3
- Sales 3
- Customer success 1
Measured from the 16 listings Ranked has live for Stockmark. Japanese level, visa signal and skills are AI-graded from each posting and can be wrong — confirm against the employer's original posting before applying.
16
open positions at Stockmark
As an Account Executive, you will propose our products to R&D departments of major manufacturing companies, understanding their unique organizational dynamics.
As an Account Executive, you will propose our products mainly to the product development, technology development, and R&D departments of major manufacturing companies.
Manage the enterprise sales team, focusing on strategy development, budget management, and team member training.
As a Customer Success Manager, you will promote product utilization, provide consulting, and support organizational transformation for clients in the manufacturing sector.
Lead architecture design and implementation for the Aconnect product, focusing on backend software and infrastructure.
Design and implement end-to-end solutions for customers’ technical drawing challenges, including drawing structuring, change detection and knowledge graphs, then generalize features into products.
Participate in the initial phase of AI agent development, focusing on planning and developing features based on generative AI technology.
Join the initial phase of AI agent development, focusing on planning and developing features based on generative AI technology.
Lead the development organization to enhance product value and drive business growth.
Lead research and development in natural language processing and machine learning, collaborating closely with product teams.
Builds document-AI logic that turns text and tables into structured customer data using LLM/VLM, image processing, and PDF analysis, while improving extraction accuracy, routing, and fallbacks.
Conduct research and development on VLM / Document AI targeting Japanese business and manufacturing documents.
Lead the implementation of AI solutions using domestic LLM and high-precision RAG to solve business challenges for clients.
Develop and improve AI agents using advanced technology to create products that deliver value to enterprise customers.
Research and develop core technologies (RAG, VLM, LLMOps) for SAT, leading technical verification and project management based on customer challenges.