Materialize
real-time data products
Materialize is the live context layer for agents and apps. It lets engineering teams use SQL to transform siloed operational data into real-time data products they can trust. Organizations from Notion to Crane Worldwide Logistics use Materialize to deliver fresh context for AI agents, build interactive search pipelines, and offload complex queries from OLTP databases.
Materializeは採用中ですか?
はい。2026年10月5日時点で、Metaintro にはMaterializeの募集中のポジションが3 件あります。
募集中のポジション
新しい順。求人に記載がある場合は給与を表示します。
- Forward Deployed Engineer開発者New York · ハイブリッド · $180K – $225K/yrNew Yorkハイブリッド$180K – $225K/yr9日前
- Product Manager, Developer Experienceプロダクト/プロジェクト管理New York · ハイブリッド · $165K – $210K/yrNew Yorkハイブリッド$165K – $210K/yr16日前
- Senior / Staff Software Engineer (Database)開発者New York · ハイブリッド · $200K – $230K/yrNew Yorkハイブリッド$200K – $230K/yr2025年5月28日
採用パターン
Materialize が募集をどれだけのペースで増やしているか、そして勤務形態の内訳。
月別の新規募集その月に初めて掲載された求人
顧客
Materialize が顧客として挙げている 17 社すべて。
採用中の顧客7
- Ryder募集中 1,596 件

- Notion募集中 142 件

- PrizePicks募集中 38 件

- Flare募集中 16 件
- bilt募集中 16 件

- Nanit募集中 8 件

- General Mills募集中 4 件
導入事例6
- Vontive

- OOnward
- Neo Financial
- SSuperscript
- DDatalot
- DDay AI
その他の顧客4
- Choco

- MMercari
- FFubo
- CCrane
顧客の声
Materialize の顧客企業の担当者による声。
“I never have to think about Materialize, which is great for a one-person data engineering team.”
“Materialize is one of the most pleasant vendors that we work with. Fast, thorough support responses make a huge difference.”
“For any real-time models the plan is to go through Materialize as our online feature store.”
“Our fraud losses have substantially decreased and the infrastructure spend for this system has gone down by about 80 percent.”
“Every week, we’re closing customers that we wouldn’t even have had the opportunity to contact before using Materialize”
さらに 11 件の声を表示表示を減らす
“We decided to look into Materialize, and by that evening we were up and running. And it wasn’t long before we started to see how it could be used in Production.”
““At Nanit, we didn’t have to reimplement our logic across all of our microservices,” Eddie said. “This streamlined our operations, and allowed us to avoid complex reimplementation.””
““Materialize really simplified our data architecture,” Eddie said. “Now our teams could just use SQL, instead of implementing complicated logic. This made things much easier and much faster.””
“In terms of saving developer time, one way to look at it is in comparison to some of our other choices for writing streaming data. It has allowed more people in the organization to participate in the development process, which has probably kept us from having to hire developers. There's big cost savings there.”
“The timing could not have been better with where we were with our architecture and app refresh cycle, and where you guys were with your initial release -- but more than that, it's been the great team that you guys have put together that really sold us.”
“Materialize has been very predictable. For us, the bigger challenge has been moving from MySQL syntax to Postgres syntax. That's probably been more of the learning curve than moving to Materialize itself. We have run into a few cases where a function doesn't exist yet, and you guys have been great about building what we've needed. That's been amazing.”
“Very quickly, we were starting to get meaningful answers, just downloading the code. That built a lot of enthusiasm for Materialize, obviously.”
“It's exceeded my expectations for where I thought the code quality would be for projects this stage.”
“Materialize is letting us use our existing knowledge. We have a small analytics team that works all day long in SQL. We have 10 years worth of SQL logic that has been built around the business already. From a very practical perspective, I need to balance our technical ambitions and what I think is going to be good for the business with what is practical and what we're going to be able to achieve without tripling the size of the engineering staff.”
“The way I think about the difference between interactive and non-interactive is: can you actually see and work with data as it exists right now, live, and feel like it's this sort of mutable thing you're touching in the interface? Instead of looking at a report of what the data was like recently.”
“Materialize is a flexible platform for expressing how you want to build live representations of what all the data you're storing actually means—in a way that matches how an agent or human would want to read it.”
AI のローンチと提携
Materialize が AI 分野でローンチしたものと協業先。
- ローンチCallable tools through MCPMaterialize automatically exposes indexed views as callable tools through the Model Context Protocol, allowing AI models to access real-time business context.
- ローンチOnline feature storesMaterialize offers incrementally maintained views to serve fresh features to ML models and support ML inference.
- ローンチML models to productionMaterialize enables engineers to ship ML models to production.
- ローンチDynamic digital twins for AI agentsMaterialize offers digital twins that give AI agents live context about business entities and exposes structured data products via Model Context Protocol.
求められるスキル
募集中の求人で最も多く見られるもの。
技術スタック
- CMS
- Sanity
- フレームワーク
- Svelte
- SvelteKit
- アナリティクス
- Google Tag Manager
- ライブラリ
- Tailwind CSS
- セキュリティ
- Osano
企業情報
- 設立
- 2019
- 業界
- real-time data products
- 業種(NAICS)
- 情報通信業
- ウェブサイト
- materialize.com
Materialize に関する質問
- Materializeは採用中ですか?
- はい。2026年10月5日時点で、Metaintro にはMaterializeの募集中のポジションが3 件あります。 最も多いのは Developer(2)、Product/Project Management(1) です。
- Materialize の顧客にはどのような企業がありますか?
- Materialize は Ryder、Notion、PrizePicks、Flare、bilt など 17 社を顧客として挙げています。