Careers
Intelligence for product information.
That catalog you saw today, that product page on an online store — our software is what runs behind them.
Why Profield
Why Profield, why now
We started as software that automatically composed printed catalogs. Over 20 years we grew into a "product information foundation for commerce" — centralizing product information itself and distributing it to e-commerce, catalogs and every medium.
Now we are building another layer on top of it: vertical, work-specific AI. Fix one product and the correction cascades into dozens of related places. Change a price and you must realign e-commerce, catalogs and the product database. This "chain of judgment," long supported by the experience and intuition of individual staff, is what we are teaching AI to learn and reproduce.
The value of vertical AI is decided by the depth of its proprietary data. We hold 20 years and 1,000 companies worth of knowledge about how product information is operated and decided — data that competitors cannot acquire overnight. The next few years are the most exciting phase in this company.
What We Do
What we do
Get product information right once, and it can flow to every medium. We build the foundation for that as our own products.
Product Information Management (PIM)
Centralize scattered product data and keep it accurate.
E-commerce / Digital Catalogs
Deliver the same information to the web and sales channels.
Automated Layout & Catalog Production
Compose pages automatically — no DTP expertise required.
Work-specific AI
Learn and automate the "judgment" in product, e-commerce and catalog work.
This is not contract development. We plan, build, deliver to customers and protect with patents ourselves — an environment where you can be involved across the entire life of a product.
Our Strengths
Our three strengths
Leading Japanese companies as our customer base
More than 1,000 major players in mail order, manufacturing and distribution use our products. Much of the product information you see online and in print every day runs on our foundation. This is not small work at a small company — it is work close to social infrastructure.
Two decades of domain depth, and a moat of patents
We have pursued the question of "how to handle product information" for 20 years. The technologies born along the way are protected by multiple patents. Rather than chasing trends, we compete on an accumulation that is hard to imitate.
Vertical AI built on accumulated data
If generative AI is "AI that creates," what we build is "AI that learns judgment." A work-specific AI that only works because of a foundation of 20 years and 1,000 companies of operational data. Countless companies talk about AI from scratch; very few own the proprietary data to train it.
Selected customers
Engineering Challenges
The hard problems we solve
For engineers, this is a treasure trove of meaningful problems.
- Automated layout
- Compose pages automatically "as if a human designed them" — a battle with a mass of rules and exceptions.
- Consistency across large product datasets
- Correctly trace how far a change across hundreds of thousands of SKUs reaches.
- Learning operational judgment
- Make AI reproduce the personalized reasoning of "why it is fixed this way."
- Cross-media delivery
- Convert the same information into the optimal form for print, web and e-commerce.
Not every problem is clean. You face the messy, difficult problems of real-world operations — exactly the ones that deliver great value when solved.
Culture
Environment & culture
Our own products
What you build is used for the long term, and you keep improving it.
Real ownership
A lean team where one person’s discretion and impact are large.
A place to learn
Because the domain runs deep, there is a lot to learn after joining — an environment where you can grow even in unfamiliar areas.
Open Positions
Open positions
Own our products (PIM / e-commerce / automated layout / AI) end to end — from planning through development and operation.
Software Engineer (Product Development)
Design and develop our own products (PIM / e-commerce / automated layout / AI).
AI / Machine Learning Engineer
Research and develop our work-specific AI (AIDesigner®).
Details such as the ideal candidate, preferred skills and compensation are shared in a casual interview. If a role interests you, feel free to reach out first.
Talk with usSelection Process
Selection process
- STEP 1
Entry
- STEP 2
Document screening
- STEP 3
Interviews (multiple)
- STEP 4
Offer
Intelligence for product information.Take on the challenge with us.
We are hiring new graduates, experienced professionals and interns.
Let’s start with a casual conversation.