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.
- Enterprise Account ExecutiveSalesNew York, New York, United States · Hybrid · $140K – $170K/yrNew York, New York, United StatesHybrid$140K – $170K/yr27d ago
- Forward Deployed EngineerDeveloperNew York, New York, United States · Hybrid · $180K – $225K/yrNew York, New York, United StatesHybrid$180K – $225K/yrSep 30, 2026
- Product Manager, Developer ExperienceProduct/Project ManagementNew York, New York, United States · Hybrid · $165K – $210K/yrNew York, New York, United StatesHybrid$165K – $210K/yrSep 23, 2026
- Senior / Staff Software Engineer (Database)DeveloperNew York, New York, United States · Hybrid · $200K – $230K/yrNew York, New York, United StatesHybrid$200K – $230K/yrMay 28, 2025
Hiring pattern
How fast Materialize is adding roles, and how they're set up.
New roles each monthRoles first posted in the month
How roles are set upShare of open roles
Customers
All 19 companies Materialize names as customers.
Customers hiring now12
- Ryder3,320 open roles

- General Mills350 open roles
- Notion152 open roles

- Mercari104 open roles
- PrizePicks29 open roles

- bilt18 open roles

- revin9 open roles

- Onward7 open roles
- Vontive3 open roles

- Superscript3 open roles

- Vori3 open roles

- built1 open role

Case studies4
- Neo Financial
- Nanit

- DDay AI
- DDatalot
Other customers3
- Zzepz
- FFubo
- CCrane
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”
“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.”
““I never have to think about Materialize, which is great for a one-person data engineering team.””
““Only about two weeks worth of work was required to go from first conversation about Materialize to customer-facing location tracking.””
““Getting Data flowing in from Kafka was a breeze.””
Show 13 more quotesShow fewer
“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.”
““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.””
“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.”
“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.”
“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.”
“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.”
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
- Website
- materialize.com
- Careers
- materialize.com/careers
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.