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15
open roles
Backers
5
Plug and Play, Daiwa Corporate Investment
Momentum
25/100
a new city, in the news
Last sign of life
1 mo ago
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Sep 7
First sales or marketing role 1186【Biz】ハイタッチカスタマーサクセス
Tractionpublic signals, read monthly
Web presence
top 0.03%
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How Stockmark hires
Truth index
B 83/100
Median time to fill
134 days
Ghost roles
20%
Stale roles
0%
Reposted roles
0%
Stockmark scores B on the Alion truth index (A is best, E worst), measured over 15 open roles re-checked against its own hiring board: 20% look like ghost listings, 0% have gone stale and 0% are the same role posted again. Its roles close in a median of 134 days. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Overview
Stockmark is a Japanese AI company that develops generative AI and large language models to support corporate transformation. It released Stockmark-2, a 100-billion-parameter Japanese LLM, offers the manufacturing AI agent Aconnect and the SAT platform to more than 300 companies, and hires machine learning, data and infrastructure engineers, product managers and consultants. The company is based in Japan.
News
Use Case Vol. 1: Panasonic Holdings Stockmark-Developing "Panasonic-LLM-100b," One of Japan's Largest Enterprise-Specific Large Language Models, to Advance AI-Driven ...
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Report
プレスリリース:ストックマーク、Noetra等が進めるフィジカルAI向け「国産マルチモーダル基盤モデル」の開発に参画PR TIMES
基盤開発や独自データ合成技術の知見を提供し、日本の産業競争力強化に貢献 国産生成AI基盤の独自開発およびビジネス向け生成AIサービスを提供するストックマーク株式会社(本社:東京都港区、代表取締役CEO:林 達、以下:ストックマーク) は、Noetra株式会社(本社:東京都渋谷区、代表取締役社
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TOPインタビュー第1弾:食品・日用品編日本企業の暗黙知/社内データ AI-Ready化プロジェクト 生成AI活用を牽引する国内最大手16社のトップインタビュー記事を公開
ストックマーク株式会社のプレスリリース2026年6月4日 11時00分TOPインタビュー第1弾:食品・日用品編日本企業の暗黙知/社内データ AI-Ready化プロジェクト 生成AI活用を牽引する国内最大手16社のトップインタビュー記事を公開
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Report
ストックマーク独自開発LLMが国内オープンモデルの中でも最高性能を記録 日本語特化の1,000億パラメータLLM「Stockmark-2-100B-Instruct-beta」を公開
ストックマーク株式会社のプレスリリース2025年3月18日 11時00分ストックマーク独自開発LLMが国内オープンモデルの中でも最高性能を記録 日本語特化の1,000億パラメータLLM「Stockmark-2-100B-Instruct-beta」を公開
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ビジネス知識が豊富で高速・高精度な日本語AIモデルが誰でも簡単に利用可能に 「Stockmark-LLM-13b」をAWS Marketplaceで提供開始
ストックマーク株式会社のプレスリリース2024年10月17日 11時00分ビジネス知識が豊富で高速・高精度な日本語AIモデルが誰でも簡単に利用可能に 「Stockmark-LLM-13b」をAWS Marketplaceで提供開始
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Japan's Stockmark launches open-source LLM with 13 billion parameters, less hallucinations
Tokyo-based Stockmark, the Japanese startup developing and offering sentence analysis AI solutions for businesses, launched a proprietary large language model (LLM) with 13 billion parameters calle…
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Report
日本 StockMark AI雲端服務 「Asale 鉅亨網
「StockMark」是一家來自東京大學的新創公司創立於 2016 年他們的新產品「Asales」藉由 AI 技術分析公司內部資料與客戶的情報自動產生企業動向報告、提供最佳...
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Tech stack
Technologies named in job postings at Stockmark over the last 12 months, by layer, with the share of postings for each.
Technologies in use
45
Postings analysed
16
Stack modernity
87/100AI adopter
Languages
Python100%
TypeScript88%
JavaScript75%
Node JS69%
Frameworks & libraries
Vue.js63%
Puppeteer13%
Ruby on Rails6%
Transformers6%
Databases
Amazon Aurora6%
DynamoDB6%
MySQL6%
OpenSearch6%
Cloud & platforms
AWS88%
Azure75%
Spark13%
AWS Bedrock6%
AI & ML
LLM56%
VLM31%
LLaVA6%
Qwen6%
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Full Stockmark tech stack
45 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
57/100
Growing
Open positions
15
0 opened / 7 closed in 30 days
Median time-to-fill
135 days
faster than 10% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
57% ▼
Data Science
14% ▼
DevOps
14% ▼
Customer Success
14% ▼
Activity Timeline
Added SQL to stack
Oct 2026
Added SFT to stack
Oct 2026
Added Qwen to stack
Oct 2026
Added LLaVA to stack
Oct 2026
Added GRPO to stack
Oct 2026
Added DPO to stack
Oct 2026
New location: Tokyo
Oct 2026
Added GCP to stack
Sep 2026
Added ETL/ELT to stack
Sep 2026
Added YouTube to stack
Sep 2026
Added ElasticSearch to stack
Sep 2026
Added AWS Fargate to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Tokyo
Tokyo
Japan
HQ
15 open roles 7 posted in 90 days 67% engineering $1,140k Avg Salary
hires for AI/ML, Product, Leadership
Jobs
$583k – $1.2M per year • In office • Tokyo
Python
SQL
Qwen
VLM
LLaVA
DPO
SFT
GRPO
OCR
Apply
In office • Full-Time • Tokyo
Python
JavaScript
TypeScript
Node JS
Vue.js
DevOps
Terraform
Azure
AWS
Docker
Apply
In office • Full-Time • Tokyo
Python
JavaScript
TypeScript
Node JS
LLM
Frontend
Vue.js
DevOps
Terraform
Azure
AWS
Docker
Apply
In office • Full-Time • Tokyo
Python
JavaScript
TypeScript
Node JS
VLM
LLM
OCR
Frontend
Vue.js
DevOps
Terraform
Azure
AWS
Docker
Apply
In office • Full-Time • Tokyo
Python
TypeScript
NLP
VLM
LLM
RAG
DevOps
Terraform
Azure
AWS
Docker
Apply
In office • Full-Time • Tokyo
Python
TypeScript
AI Agents
NLP
VLM
LLM
RAG
OCR
DevOps
Terraform
Azure
AWS
Docker
Apply
In office • Full-Time • Tokyo
Python
JavaScript
TypeScript
Node JS
LLM
Frontend
Vue.js
DevOps
Terraform
Azure
AWS
Docker
Apply
Apply
In office • Full-Time • Tokyo
Python
JavaScript
TypeScript
Ruby
Ruby on Rails
Databases
MySQL
Redis
DynamoDB
OpenSearch
Amazon Aurora
AI/ML
vLLM
NLP
AWS Bedrock
Transformers
OpenAI
Frontend
Vue.js
React.js
DevOps
Terraform
Datadog
Azure
AWS
AWS Lambda
IAM
Amazon ECS
AWS Step Functions
Apply
In office • Full-Time • Tokyo
Python
JavaScript
TypeScript
Node JS
LLM
Frontend
Vue.js
DevOps
Terraform
Azure
AWS
Docker
Apply
In office • Full-Time • Tokyo
Python
JavaScript
TypeScript
Ruby
Ruby on Rails
Databases
MySQL
Redis
DynamoDB
OpenSearch
Amazon Aurora
AI/ML
vLLM
NLP
AWS Bedrock
Transformers
LLM
OpenAI
Frontend
Vue.js
React.js
DevOps
Terraform
Datadog
Azure
AWS
AWS Lambda
IAM
Amazon ECS
AWS Step Functions
Apply
In office • Full-Time • Tokyo
Python
JavaScript
TypeScript
Ruby
Ruby on Rails
Databases
MySQL
Redis
DynamoDB
OpenSearch
Amazon Aurora
AI/ML
vLLM
NLP
AWS Bedrock
Transformers
LLM
NVIDIA NIM
OpenAI
Frontend
Vue.js
DevOps
Terraform
Datadog
Azure
AWS
AWS Lambda
IAM
Amazon ECS
AWS Step Functions
Apply

Plug and Play
Daiwa Corporate Investment
NTT Docomo Ventures
Polaris Capital Group
Tohoku University Venture Partners 




