Randeft is a BtoB SaaS startup company born to serve materials scientists seeking better materials to build a sustainable future. We are making a unique product that no one has heard of to meet the solid but unsatisfied needs of materials scientists. We are now in the final phase before launching and are having conversations with many companies including enterprises interested in our product. Currently our team consists of four full-time members (three developers and CEO) and eight part-time members (developers, UX designer, product manager, materials scientists, and Biz Dev).
ランデフトは、持続可能な未来のためによりよい素材を追求する材料科学者を支援するために生まれたBtoB SaaSスタートアップです。これまで無視されてきた材料科学者の強いニーズに応えるため、誰も聞いたことがないユニークなプロダクトを作っています。現在私たちは製品ローンチ前の最終フェースにあり、弊社プロダクトに興味を持っている大企業を含むたくさんの企業と対話を始めています。現在チームには4名のフルタイムメンバー（3名のエンジニアとCEO）と8名のパートタイムメンバー（エンジニア、UXデザイナー、プロダクトマネージャー、材料科学者、事業開発担当、バックオフィス）が在籍しています。
We are still a very small team. So we expect you to play a developer role different from one in a sophisticated company. Here is a list of what you’ll do.
Don't know anything about materials science? We take care of it! We have a set of onboarding documents written by materials scientists so that new members can quickly learn what materials science is and how materials scientists do their jobs.
私たちはまだとても小さなチームです。したがって採用された方には洗練された企業における開発者の役割とは異なる役割を担ってもらうことをわたしたちは期待しています。以下に業務内容を挙げます。
材料科学のことは何も知りませんか？問題ありません！材料科学者が執筆したオンボーディング資料を用意してあるので、新しいメンバーは材料科学の全体像や材料科学者がどう仕事をしているのかについて手短に学べます。
For a newborn startup, handy tools are critical.
生まれたてのスタートアップにとって便利な道具は欠かせません。
We are looking for a web developer who can enjoy the first full-time senior role in a newborn startup company and have a positive attitude in constantly learning customers' domain knowledge. The ideal candidate would satisfy the requirements below:
私たちは、生まれたてのスタートアップ企業における1人目のフルタイムシニアエンジニア役を楽しめ、顧客のドメイン知識を継続的に学んでいくことに前向きなウェブ開発者を探しています。理想的な候補者が有する要件は以下の通りです。
For the moment we basically use Japanese for group meetings and English for text-based communication and small meetings. We will gradually shift to more English-weighted communication style as we welcome more non-Japanese native members.
現在、基本的にグループのミーティングでは日本語を、テキストベースのやりとりと小さなミーティングでは英語を使っています。非日本語ネイティブのメンバーを迎えるために、徐々にもっと英語に重きを置いたコミュニケーションスタイルに移行していきます。
If you have ever been involved in materials science, you probably know how troublesome it is to find experimental or analysis results that you made some years ago. Randeft solves this problem and adds further value to your research data buried deep in data storage. Here we briefly explain what materials science means to society and the background of the experts' needs to show you how exciting our business is.
When you hear the word "materials", you might feel difficult to relate the word with your daily life. But actually materials are literally everywhere. Everything essential to our modern society such as cars, houses, laptop computers, and smartphones heavily rely on various kinds of state-of-the-art materials, or, in other words, fruits of continuous and enormous efforts by materials scientists. One good example is lithium-ion battery. It all started from an idea proposed in the 70’s to use lithium ions for battery and it took more than twenty years until the first commercial product launched. Without such continuous efforts made by researchers, we could not enjoy the benefits of mobile devices penetrated in our daily life. If you think that any other key components you've never thought about used in everyday products have such background, you will notice the potential impact that materials science can give to society.
Materials science is an umbrella term for diverse kinds of research categories such as metal, glass, rubber, plastic, magnet, battery, or any other functional materials with unfamiliar names. It's so diverse that you sometimes hardly find anything in common between two categories other than that they are solid (say, metal and rubber or glass and plastic). This intrinsic diversity is amplified as research proceeds in terms of data types and formats. On the other hand, like in many business areas, data-driven approaches using machine learning techniques are emerging in the world of science as well and materials science is not an exception. Such approaches require input data to be as neat as possible, which is far from what materials scientists see on their lab notebooks, laptop computers, or lab's shared file servers. According to our survey, 99% of materials scientists have issues related to data handling (yes, 99%). We fix this situation to revive abandoned data, and help materials scientists find and share research data smoothly.