Field Engineer

Materialize•New York, NY

103d

About The Position

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. Investors: Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners. 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.

Requirements

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

Nice To Haves

Significant experience using SQL databases, Flink, Kafka, and other data infrastructure.
Prior experience with Kubernetes and container orchestration
Experience working with high-performance, high-availability systems.

Responsibilities

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
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

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