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.
Materialize은(는) 채용 중인가요?
네. 2026년 10월 5일 기준으로 Metaintro에 Materialize의 공개 포지션이 4 개 있습니다.
채용 중인 포지션
최신순. 공고에 급여가 기재된 경우 표시합니다.
- Enterprise Account Executive영업New York · 하이브리드 · $140K – $170K/yrNew York하이브리드$140K – $170K/yr그저께
- Forward Deployed Engineer개발자New York · 하이브리드 · $180K – $225K/yrNew York하이브리드$180K – $225K/yr11일 전
- Product Manager, Developer Experience제품/프로젝트 관리New York · 하이브리드 · $165K – $210K/yrNew York하이브리드$165K – $210K/yr18일 전
- Senior / Staff Software Engineer (Database)개발자New York · 하이브리드 · $200K – $230K/yrNew York하이브리드$200K – $230K/yr2025년 5월 28일
채용 패턴
Materialize의 포지션 증가 속도와 근무 형태.
월별 신규 포지션해당 월에 처음 게시된 포지션
고객
Materialize의 고객으로 언급된 회사 17곳 전체.
채용 중인 고객사8
- Ryder채용 중 3,773개

- Notion채용 중 143개

- PrizePicks채용 중 35개

- Flare채용 중 17개
- bilt채용 중 16개

- Nanit채용 중 9개

- General Mills채용 중 9개
- Superscript채용 중 6개

고객 사례5
- Vontive

- OOnward
- Neo Financial
- DDatalot
- DDay AI
기타 고객사4
- Choco

- MMercari
- FFubo
- CCrane
고객의 목소리
Materialize 고객사 관계자들의 이야기.
“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”
후기 11건 더 보기간단히 보기
“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 출시 및 파트너
Materialize의 AI 출시 현황과 AI 협업 파트너.
- 출시Callable tools through MCPMaterialize automatically exposes indexed views as callable tools through the Model Context Protocol, allowing AI models to access real-time business context.
- 출시Online feature storesMaterialize offers incrementally maintained views to serve fresh features to ML models and support ML inference.
- 출시ML models to productionMaterialize enables engineers to ship ML models to production.
- 출시Dynamic 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.
요구하는 기술
채용 중인 공고에서 가장 자주 등장하는 기술.
기술 스택
- CMS
- Sanity
- 프레임워크
- Svelte
- SvelteKit
- 분석
- Google Tag Manager
- 라이브러리
- Tailwind CSS
- 보안
- Osano
회사 정보
- 설립
- 2019
- 산업
- real-time data products
- 업종(NAICS)
- 정보통신업
- 웹사이트
- materialize.com
- 채용 페이지
- materialize.com/careers
Materialize에 관한 질문
- Materialize은(는) 채용 중인가요?
- 네. 2026년 10월 5일 기준으로 Metaintro에 Materialize의 공개 포지션이 4 개 있습니다. 가장 많은 팀은 Developer (2) 및 Product/Project Management (1)입니다.
- Materialize의 고객은 누구인가요?
- Materialize에서 고객으로 언급한 곳은 Ryder, Notion, PrizePicks, Flare 및 bilt 등 17곳입니다.