Field Engineer

Materialize is the context engine for AI agents and applications. It lets engineering teams use SQL to transform siloed operational data into up-to-the-second, trustworthy views into any element of their business. 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 Field Engineer, you are the technical engine of a customer-facing pod, partnering closely with an Account Executive and BDR to drive successful evaluations, onboarding, and expansion for Materialize customers. You own the technical relationship from discovery through production and beyond. This is a hybrid pre-sales and post-sales role. You’ll spend the majority of your time working directly with customers running discovery, demos, and POVs, and guiding customers into production, while also contributing to repeatable assets that help scale the Field Engineering function. This role is ideal for someone who enjoys working directly with customers, thrives in technical ambiguity, and wants to help define how a category-defining infrastructure product is evaluated and adopted.

Our Field Engineers are based in our NYC office near Astor Place, with an expectation of at least 3 days per week in person.

• →Lead technical discovery conversations and assess use case fit using Materialize’s qualification frameworks
• →Design and deliver tailored demos and time-boxed POVs with clear success criteria
• →Explain Materialize’s architecture and positioning relative to alternatives such as Flink, Snowflake, Databricks, ClickHouse, and custom-built systems
• →Partner with Account Executives on deal strategy, technical qualification, and MEDPICC execution
• →Maintain strong Salesforce hygiene, including technical risk flags and deal health updates
• →Guide customers from closed-won to first production workloads
• →Provide architectural guidance and support customers through early adoption
• →Monitor usage patterns and surface expansion opportunities in partnership with Sales
• →Participate in status reviews and QBRs for assigned accounts
• →Build and improve repeatable assets such as demo environments, POV templates, and discovery playbooks
• →Document best practices and contribute to internal enablement

• 4+ years of experience in a customer-facing technical role such as Field Engineering, Solutions Engineering, Technical Consulting, or Solutions Architecture
• Strong understanding of modern data architectures, including relational databases, event streaming, and microservices
• Proficiency with SQL and the ability to reason about query behavior and performance
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerized environments
• Strong communication skills and comfort presenting to both technical and non-technical audiences
• A structured, process-oriented mindset paired with the flexibility needed in a fast-growing startup
• Experience with real-time or streaming systems (Kafka, Flink, Spark) is a plus
• Background in data infrastructure, developer tools, or technical consulting is a plus
• Scripting experience in Python, Go, or similar languages is a plus