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 15
- Python 8
- AWS 6
- Docker 6
- TypeScript 6
- Azure 5
- JLPT N1 3
- Japanese posting, level unstated 23
- Common areas
- Frontend engineering 4
- Backend engineering 3
- Sales 3
- Data engineering 2
Measured from the 26 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.
26
open positions at Stockmark
Manage product strategy and development for 'Aconnect', collaborating with teams to define direction and prioritize features.
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 manufacturing consultant, you will support the implementation of generative AI in the manufacturing sector, focusing on R&D and value creation.
As an AI Consultant, you will support the implementation of generative AI in businesses, focusing on project promotion and customer engagement.
As a Customer Success Manager, you will promote product utilization, provide consulting, and support organizational transformation for clients in the manufacturing sector.
Design, develop, and operate a data distribution system for various products using advanced AI technology.
Lead architecture design and implementation for the Aconnect product, focusing on backend software and infrastructure.
Lead AI-driven digital transformation using domestic LLM and high-precision RAG, supporting enterprise clients in solving business challenges.
Design, build, and operate infrastructure for generative AI products and enterprise implementation projects, improving cloud architecture, automation, observability, security, availability, and developer productivity.
Lead the development of new AI agents for manufacturing industry and drive product planning and promotion.
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.
Responsible for the verification, development, and operation of the infrastructure area of SAT, leading development as the second SRE for a new service.
Join the initial phase of AI agent development, focusing on planning and developing features based on generative AI technology.
Lead research and development to enhance the reliability and functionality of document structuring using the latest technologies like VLM.
Lead the development organization to enhance product value and drive business growth.
Lead the decision-making for product features based on customer requirements collected by FDE and consultants.
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.
Build annotation tools and data pipelines for document and drawing-structure development, manage training and evaluation datasets, and check model outputs. Fully remote within Japan.
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.