Materialize is an operational data warehouse. It’s the same SQL, same workflows, same architecture as an analytical data warehouse, but with a continuous computation model instead of batch. Your data is always up to date, always consistent, and always immediately accessible, so you can build real-time automation, engaging customer experiences, and new operational data products that drive value for your business.
Our streaming-first data warehouse is purpose-built for the unique demands of operational work. The familiar cloud architecture means low admin overhead, no new skills required. And the incremental engine means the same complex batch transformation logic from analytical warehouses can be ported over to run in real time with minimal engineering effort, and without increasing costs.
Investors:
Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners.
About the role:
As a Field Engineer, you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a key part of the sales team, acting as a technical advisor and working with the product team as an advocate for your customers in the field. You will help our customers achieve tangible outcomes with Materialize, establish a clear architectural vision, identify compelling use cases, and help our customers realize value. You'll grow as a leader in your field while finding solutions to our customers' biggest challenging problems.
About you:
- Pre- or post-sales experience working with external clients
- As this is a broad and varied role, you will have proven expertise in data, such as data engineering, architecture, or data science
- Experience demonstrating technical concepts, including presenting and white-boarding
- Proficiency with SQL and some scripting languages like Python
Responsibilities :
- You will become an expert on cutting-edge streaming and database systems
- Lead your clients through evaluating and adopting Materialize
- Support your customers by authoring reference architectures, how-tos, and demo applications
- Engage with the technical community (both internal and customer) by leading workshops, seminars, tradeshows, and meet-ups
- Together with your Account Executive, you will form successful relationships with clients to provide technical and business value
Bonus points for:
- Significant experience using SQL databases, Flink, Kafka, and other data infrastructure.
- Experience working with high-performance, high-availability systems.
- Experience working on a cloud product.
Salary: $180,00 - 200,000/year + Equity
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.
Top Skills
What We Do
Materialize is the streaming SQL database company that makes it easy for any developer or analyst to understand streaming data, answer complex questions and build intelligent applications using standard technology. Whether it’s delivering personalized experiences, accurately identifying fraud, building predictive AI, or discovering new business opportunities, the ability to run complex queries on multiple streams of data and keep their answers up to date is critical to making better decisions about the changing world around us.
We are focused on bottom-up developer adoption, our core software is free to use and source available, our business model is a cloud product that handles management of Materialize and lets businesses focus on building value. We have a vibrant developer community on Slack and as much as possible we work in public on GitHub.
The Materialize team includes engineers who were early employees of Cockroach Labs, Flink, Dropbox, and YouTube. Our work builds on top of Timely Dataflow and Differential Dataflow, both created by our co-founder Frank McSherry, a world-leading computer scientist with decades of award-winning research in all aspects of data.
