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Materialize

Data Infrastructure and Analytics

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.

Is Materialize hiring?

Yes. As of November 4, 2026, Materialize has 4 open roles on Metaintro. 1 was posted in the last 30 days.

Open roles

Newest first. Pay shown when the posting lists it.

Hiring pattern

How fast Materialize is adding roles, and how they're set up.

New roles each monthRoles first posted in the month

3
2
0
SeptemberOctoberNovember
November: 0 new roles.

How roles are set upShare of open roles

80%
20%
HybridOn-site
80% of roles are hybrid or remote.

Customers

All 19 companies Materialize names as customers.

Customers hiring now13

Case studies3

Other customers3

  • zepz
  • Fubo
  • Crane

What their customers say

Quotes from people at Materialize's customers.

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

Tom · Superscript

“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

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

Clayton · Onward

““Only about two weeks worth of work was required to go from first conversation about Materialize to customer-facing location tracking.””

Clayton · Onward

““Getting Data flowing in from Kafka was a breeze.””

Clayton · Onward
Show 13 more quotes

“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

““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

“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

“It's exceeded my expectations for where I thought the code quality would be for projects this stage. I also really liked the fact that Materialize is using Rust. I know just enough about Rust to know that if your code compiles, that gives you a lot of guarantees.”

Josh Arenberg · Director of Engineering · Datalot

“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

“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

AI launches and partners

What Materialize has launched and who it works with on AI.

  • LaunchDynamic digital twins for AI agentsMaterialize offers digital twins that give AI agents live business context and exposes structured data products via MCP.
  • LaunchAccurate stock context for AI agentsMaterialize provides AI agents with accurate stock context without a separate data pipeline.
  • LaunchLive context for AI agentsMaterialize provides AI agents with live context to draft quotes or flag at-risk loads.
  • LaunchReal-time data products for AI agentsMaterialize turns siloed data into real-time data products that keep AI agents up to date in seconds.

Skills they ask for

Most frequent across open postings.

Tech stack

CMS
Sanity
Frameworks
Svelte
SvelteKit
Libraries
Tailwind CSS
Security
Osano
Analytics
Google Tag Manager

Company facts

Founded
2019
Industry
Data Infrastructure and Analytics
Sector (NAICS)
Information
Peer
EXL

Similar companies

Companies in the same industry as Materialize that are hiring now.

Questions about Materialize

Is Materialize hiring?
Yes. As of November 4, 2026, Materialize has 4 open roles on Metaintro. 1 was posted in the last 30 days. The most are in Developer (2), Product/Project Management (1), and Sales (1).
Does Materialize offer remote or hybrid work?
80% of open roles are hybrid and 0% are remote.
Who are Materialize's customers?
Materialize names 19 customers, including Ryder, General Mills, Notion, Mercari, and PrizePicks.
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