Organize &DemocratizeProduct Data.
Mission
Organize the world’sproductsand democratizethe data.
Lazuli is the SaaS platform that organizes the products’ information in the world and enables every company to utilize the data for analysis, search, recommendation, marketing, supply chain management and other digital solutions.
We named our company “Lazuli” after lapis lazuli, which is a name of “deep-blue” and known as a color used by a famous Dutch painter, J. Vermeer for his paintings. Lazuli is also the origin of “azul” in Spanish and “azzuro” in Italy. Lapis lazuli moves the deep part of our soul. We solve root and fundamental issues for companies.
Team
CEO / CTO
Seigen Hagiwara
CEO / CTO
Seigen Hagiwara
2020-
CEO / CTO at FVI
2018-
CEO at FVI
2018-
CEO at Data David
2016-
Chief Analysis Officer / Director at FUTURE WOODS
2016-2019
Senior Director of Data Science Lab at TORETA
2005-2016
Sales / Marketing / Data Scientist / Project Manager at Recruit
2005
ME, Graduate School of Information and Science, Tokyo Institute of Technology
COO
Yuji Ikeuchi
COO
Yuji Ikeuchi
2020
COO at Lazuli Inc. and FVI
2019-2020
CEO Office (Senior Director) at FRONTEO Inc.
2013-2019
M&A, Sales and Business Development in Healthcare Div. at Mitsui. Co.
2003-2012
Sales / Marketing / Digital Marketing / Business Analyst at Recruit
2013
MBA, Trinity College Dublin
2003
BA, The University of Tokyo
Expertise in digital marketing, business development and M&A
Experience of developing business with global partners
Successful management of a digital marketing team in AI industry
CXO
Wataru Kunisada
CXO
Wataru Kunisada
2020
CXO at Lazuli Inc.
2018-2020
Head of Product Development at Toreta,Inc.
2015-2018
UX Designer / Project Manager / Program Manager at Recruit
2006-2015
UX Designer / Project Manager at Netyear Group Corporation
2002-2006
Engineer / Designer at Web Design Company
2002
Bachelor of History and Archaeology, Komazawa University
Advisor
Yutaka Matsuo
Advisor
Yutaka Matsuo
Yutaka Matsuo is a professor at Graduate School of Engineering, the University of Tokyo. He received his BS, MS, and Ph.D. degrees from the University of Tokyo in 1997, 1999, and 2002. After working at National Institute of Advanced Industrial Science and Technology (AIST) and Stanford University, he joined the faculty of University of Tokyo in 2007. He served as Editor-in-chief from 2012 to 2014, and as the chair of the ELSI committee from 2014 to 2018 at Japan Society for Artificial Intelligence (JSAI). He is now the president of Japanese Deep Learning Association (JDLA), and a member of the board of director at SoftBank Group Corp.
He is working on artificial intelligence, especially on deep learning and web mining.
Advisor
Takashi Okutani
Advisor
Takashi Okutani
Omni-Channel & Marketing Specialist. Previously working at MUJI WEB Business Section as General Manager, produced Digital CRM App called MUJI passport & create global CRM Platform. Also, launch several oversea MUJI EC platform. Currently working at Oisix.ra.daichi Inc as Chief Omni-Channel Officer. From 2017, studying at Hitotsubashi Univ. as Doctoral student and have launched my company called Engagement Commerce Lab. Also, from 2018, became the CEO of Kokyaku Jikan Inc.
Career
We need you!
Hiring Positions
Software Engineer
Job Description
You will design, develop and maintain a robust data processing infrastructure and product that collects, transforms, and stores large amounts of information
Qualifications
- Experience in developing and operating web applications using Ruby, Python, Go, etc.
- Experience in developing systems using RDBMS
- Experience in team development with Git
Preferred Qualifications
- Excellent communication skills
- English Level : Must be fluent in either English or Japanese
- Japanese Level :Must be fluent in either English or Japanese
- Have experience working at start-up(s)
- Experience with AWS/GCP development
- Experience with static typing languages such as Go, Scala, TypeScript, etc.
- Front-end development experience with React, Redux and webpack
- Track record in OSS project
Data Engineer
Job Description
You will develop software application with Machine Learning/Deep Learning and analyze amounts of data in collaboration with large companies.
Qualifications
- Ph.D. or M.S. in a relevant field such as Computer Science and Machine Learning
- 2+ years of industry experience as a Software Engineer, Data Scientist, or Machine Learning Engineer
- Have extensive experience of software such as Python, R, Julia, MATLAB, pandas,SQL,GCP...etc
Preferred Qualifications
- Excellent communication skills
- English Level : Must be fluent in either English or Japanese
- Japanese Level : Must be fluent in either English or Japanese
- Have experience working at start-up(s)
AI Engineer
Job Description
You will lead and maintain high standards of operational efficiency and develop our service and business based on machine learning technology
Qualifications
- Significant prior success deploying (impactful) Deep Learning / Reinforcement Learning solution
- Have experience of working as a data scientist at companies
- Have solid knowledge about machine learning/statistics
- Have knowledge of RDBMS/SQL
- Have experience of data infrastructure services such as Google BigQuery, TreasureData...etc
- Have experience of R/Python
Preferred Qualifications
- Have experience of BI tools such as Tableau and Looker
- Track record of articles in machine learning / statistic areas
- Excellent communication skills
- English Level : Must be fluent in either English or Japanese
- Japanese Level : Must be fluent in either English or Japanese
- Have experience working at start-up(s)
Project Manager
Job Description
You will lead development of the product through PoC projects in collaboration with customers
Qualifications
- Have experience of building UX of software applications
- Successful experience creating requirements/specifications with discussing other teams as engineers and designers
- Strong skill of logical thinking
- Strong sense of ownership as a technical and product leader with your team members
Preferred Qualifications
- Having knowledge of marketing technology and business model design
- Track record of planning and developing products and growing products as a product manager with a goal of sales or profit.
- Excellent communication skills
- English Level ： Must be fluent in either English or Japanese
- Japanese Level : Must be fluent in either English or Japanese
- Have experience working at start-up(s)
