Role OverviewMatter is hiring a Product Intelligence Engineer to turn physics-informed models, general-purpose AI, and ultraspectral data into secure, evidence-backed intelligence products.
What You Will Do
Build production workflows, design durable execution, create evidence-backed outputs, and partner with product and design to build workflows for review, correction, comparison, approval, reporting, and recovery.
Why It Might Be a Fit
The ideal candidate has experience building production AI applications, agent systems, workflow engines, backend services, or complex software products, and strong hands-on engineering skills across APIs, stateful services, databases, asynchronous execution, testing, debugging, and production operation.
Requirements
- Experience building production AI applications, agent systems, workflow engines, backend services, or complex software products
- Strong hands-on engineering skills across APIs, stateful services, databases, asynchronous execution, testing, debugging, and production operation
- Practical experience with LLMs or multimodal systems, retrieval, memory, tool use, model routing, structured generation, and common failure modes
- Product judgment and the ability to connect technical design choices to the user decision or workflow being improved
- Experience building systems with security, permissions, data isolation, auditability, or human-approval requirements
Benefits
- Competitive compensation based on experience
- Early-stage equity package
- 100% employer-paid health, dental, and vision coverage
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