About the role
THE ROLE
Coval is an expert in voice masquerading as an eval platform. We work with the companies at the frontier of voice AI, from Fortune 500s to the fastest-moving startups, and we see what's working and what's not across all of them. This role is about building the AI systems that make that expertise accessible.
This is an extremely high-agency role. You'll touch every part of our stack (simulations, UI, API, CLI) and decide where AI belongs and, just as importantly, where it doesn't. You're not building a simple chat agent or a help widget. You're building an AI system with full access to our platform that needs optimized tool calling, memory systems, and a data layer designed to provide immediate, concrete value.
Here's what that looks like in practice:
• Building the agentic form of Coval. What does our product look like when it's headless? What experiences belong in the UI versus a Claude-powered interface versus embedded in a code repo? You'll figure out where the puck is going and skate there.
• Developing AI systems that are genuinely useful. Optimize data retrieval, tool calling, and memory so our AI isn't just impressive in a demo. It helps customers get real answers about their voice agents, fast.
• Staying at the frontier of voice AI. We work with all the major labs and see the latest models before most people do. You'll help us understand what excellent voice architectures look like, which models to recommend for what, and how the space is shifting.
• Teaching the team. You're the kind of person others bring into a room to figure out how to use AI better. Not just in the product, but in internal workflows, tooling, and how the team operates.
Voice is becoming the primary way people interact with AI systems. The companies using our tools are the ones making that happen. You get to sit at that intersection and build the tooling they rely on.
