Skills: Python, React, Distributed Systems, Data Modeling, Amazon Web Services (AWS)
THE ROLE
"Founding" means what it says. You're the engineer taking the lead on what Coval's product becomes, partnering directly with our head of product to define and build it.
This is category creation. We're not copying features from another product. Nobody has built the evaluation infrastructure for voice AI before. That means you'll be thinking hard about what it looks like to serve engineers, product managers, operations teams, compliance, legal, and QA — all from one platform. You'll decide how much lives in the UI versus the CLI versus embedded in other applications. How much is system of record versus native experience. These are open questions, and you'll answer them by building.
What you'll actually do:
• Define the next frontier of the product. Not just scaling what we have to more enterprises. Skating ahead. What do operations teams need one year from now to be successful? What's missing from Coval today? You'll study the market, talk to customers, dig through analytics data, and form opinions about where to go next.
• Build large-scope features end to end. You won't be handed a ticket for a small UI tweak. You'll own entire product areas, from concept through implementation. Your first project will likely be closing the loop between evaluation signal and actionable feedback: taking everything Coval knows about a customer's conversations and turning it into autonomous suggestions about what's working, what isn't, and what to change.
• Ship across the full stack. Heavy data workloads, scaling systems, and the full user-facing experience. You'll implement opinionated, high-signal simulations and evaluations that work across wildly different business verticals.
• Stay ahead of the AI curve. AI is changing every product we use. You'll constantly adapt what a modern AI-enabled platform looks like: what's possible today versus six months from now, and build accordingly.
WHAT WE'RE LOOKING FOR
• You're deeply curious about voice AI. Not just the current state, but where it's going in six months, a year. You follow what the leading voice companies, model providers, and enterprises are doing, and you have opinions about what it means for the product.
• You come up with product ideas and then run with them. Talk to users, read the data, study the market, form a thesis, build it, ship it. That full arc is energizing to you, not exhausting.
• You know how to move fast and move intentionally. You don't see those as opposing forces. High velocity with high signal. That's how you work.
• You can handle heavy data workloads and scaling challenges. This isn't a CRUD app. Our evaluation infrastructure processes massive amounts of conversation data across healthcare, finance, and customer support.
• You're equal parts product thinker and engineer. You care as much about what we build as how we build it. You work closely with product, customer teams, and engineering to align on roadmaps and then execute with speed.