Materialize is the live data layer for apps and AI agents. It lets your team use SQL to transform siloed operational data into up-to-the-second views of your business, helping you operate confidently in dynamic environments. Use Materialize to deliver fresh context to AI agents, power data-intensive UIs, and create low-latency, event-driven architectures that drive microservices and core business processes. Materialize is trusted by General Mills, Bilt Rewards, and Crane Worldwide Logistics to solve their most pressing operational data challenges while building a live data foundation for their AI transformation
Our team spans the US (with a NYC headquarters), Canada, and EMEA.
Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners.
As a full stack engineer, you’ll help shape our best-in-class Console UI. The Console serves as an essential part of our user journey, from new users’ very first introduction to the product, to consistently providing power users with intuitive interfaces to operate, monitor, and query Materialize day after day.
The work is full stack in nature, spanning frontend development (TypeScript + React), creating new control plane APIs (Rust), and deep understanding of our data/SQL layer. Building the Console well means understanding how Materialize operates, what data is available and how it is indexed, and how to expose that data performantly through a fast, intuitive UI.
With your help, Materialize will open source the Console, providing a reference architecture to our users that sets the standard for building responsive, data-intensive UIs on top of Materialize – a core use case for our product and business.
In this role you will play a key role in growing the team and setting its technical direction. This role is based in our NYC office (near Astor Place), with an expectation of 3–5 days per week in person.
SALARY RANGE: $204,000 - $250,000 + Equity
The salary range provided in this job description should not be considered a guarantee or commitment. The actual compensation offered may vary based on individual qualifications objectively assessed during the application and interview process, including but not limited to the candidate’s:
Materialize reserves the right to adjust the salary range based on the candidate's specific circumstances and the overall compensation package.
We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to develop the exceptional product we are building. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity employer.
Materialize is a streaming SQL database for real-time applications, live dashboards, and streaming data pipelines. It provides the simplicity of SQL queries, but with millisecond-level latency for real-time data.
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