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.
Our database technology sits at the heart of the Materialize product—a product that transforms years of cutting-edge academic research into the missing element of today’s data architecture.
As a member of our Database team, you will join a team of ~10 incredible engineers focused on solving ambitious systems problems in service of delivering this remarkable product to our users.
Recent examples of the work the Database team focuses on include: evergreen efforts to drive down freshness & responsiveness while continuing to deliver correct, consistent results; making each layer of the system more easily scalable; building the right primitives to integrate with the varied software development lifecycles of our users; unifying memory and disk through transparent use of swap; making our release process more predictable and reliable; writing clear documentation both internally and externally; improving observability and debugging tooling; and deleting lots of no-longer-needed code.
This role is based in our NYC office (by Astor Place), with an expectation of ≥3 days per week in person.
SALARY RANGE: $164,050 - $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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