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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.

Sedang merekrut

3lowongan terbuka

Apakah Materialize merekrut?

Ya. Per 5 Oktober 2026, Materialize memiliki 3 posisi terbuka di Metaintro.

Lowongan terbuka

Terbaru lebih dulu. Gaji ditampilkan jika dicantumkan di lowongan.

Pola perekrutan

Seberapa cepat Materialize menambah lowongan, dan bagaimana pengaturan kerjanya.

Lowongan baru tiap bulanLowongan yang pertama kali diposting pada bulan tersebut

3
1
SeptemberOktober
Oktober: 1 lowongan baru.

Pelanggan

17 perusahaan yang disebut Materialize sebagai pelanggannya.

Pelanggan yang sedang merekrut5

Studi kasus6

Pelanggan lainnya6

Kata pelanggan mereka

Kutipan dari orang-orang di perusahaan pelanggan Materialize.

“I never have to think about Materialize, which is great for a one-person data engineering team.”

Clayton · Onward

“Materialize is one of the most pleasant vendors that we work with. Fast, thorough support responses make a huge difference.”

Neo Financial

“For any real-time models the plan is to go through Materialize as our online feature store.”

Neo Financial

“Our fraud losses have substantially decreased and the infrastructure spend for this system has gone down by about 80 percent.”

Neo Financial

“Every week, we’re closing customers that we wouldn’t even have had the opportunity to contact before using Materialize”

Tom · Superscript
Tampilkan 11 kutipan lagi

“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.”

Tom Cooper · Superscript

““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.””

Eddie Mishelevich · Senior Backend Developer · Nanit

““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.””

Eddie Mishelevich · Senior Backend Developer · Nanit

“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.”

Josh Arenberg · Director of Engineering · Datalot

“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.”

Josh Arenberg · Director of Engineering · Datalot

“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.”

Josh Arenberg · Director of Engineering · Datalot

“Very quickly, we were starting to get meaningful answers, just downloading the code. That built a lot of enthusiasm for Materialize, obviously.”

Josh Arenberg · Director of Engineering · Datalot

“It's exceeded my expectations for where I thought the code quality would be for projects this stage.”

Josh Arenberg · Director of Engineering · Datalot

“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.”

Josh Arenberg · Director of Engineering · Datalot

“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.”

Erik Munson · Founding Engineer · Day AI

“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.”

Erik Munson · Founding Engineer · Day AI

Peluncuran dan mitra AI

Apa yang telah diluncurkan Materialize dan dengan siapa ia bekerja sama di bidang AI.

  • PeluncuranCallable tools through MCPMaterialize automatically exposes indexed views as callable tools through the Model Context Protocol, allowing AI models to access real-time business context.
  • PeluncuranOnline feature storesMaterialize offers incrementally maintained views to serve fresh features to ML models and support ML inference.
  • PeluncuranML models to productionMaterialize enables engineers to ship ML models to production.
  • PeluncuranDynamic 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.

Keterampilan yang mereka cari

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Keamanan
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Fakta perusahaan

Didirikan
2019
Industri
real-time data products
Sektor (NAICS)
Informasi

Pertanyaan tentang Materialize

Apakah Materialize merekrut?
Ya. Per 5 Oktober 2026, Materialize memiliki 3 posisi terbuka di Metaintro. Paling banyak ada di Developer (2) dan Product/Project Management (1).
Siapa saja pelanggan Materialize?
Materialize menyebut 17 pelanggan, termasuk Ryder, Notion, bilt, Flare, dan Nanit.
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