Founding Product Engineer

Voiceflow; San Francisco (CA); On-site; USD 100,000 - 200,000; Full time

Benefits offered by this job

Dog-friendly office

Team-building activities

Work in a vibrant SoMa location

Job summary

Voiceflow is looking for a Founding Product Engineer to lead the development of our simulation and evaluation platform for voice AI in San Francisco. The role involves defining product direction, building features end to end, and staying ahead of trends in voice AI. Ideal candidates should have at least 1 year of full-stack engineering experience, a passion for product development, and the ability to handle large data workloads. The team is dynamic, and the company is growing rapidly in a burgeoning field.

Qualifications

• 1+ years of experience in full-stack engineering.
• Strong curiosity about voice AI and industry trends.
• Ability to manage heavy data workloads.

Responsibilities

• Define the next frontier of the product and study market needs.
• Build large-scope features end to end and own entire product areas.
• Ship across the full stack, dealing with heavy data workloads.

Skills

Python

React

Distributed Systems

Data Modeling

Amazon Web Services (AWS)

Job description

Coval

Simulation & Evaluation that scales voice and chat AI agents

Founding Product Engineer

$100K - $200K • 0.20% - 1.50% • San Francisco, CA, US

• Job type: Full-time
• Role: Engineering, Full stack
• Experience: 1+ years
• Visa: US citizen/visa only
• Skills: Python, React, Distributed Systems, Data Modeling, Amazon Web Services (AWS)

About the role

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.

About Coval

What Coval does

Coval is the simulation and evaluation platform for voice AI. We help companies answer the question most can’t: do their voice agents actually work? Not in a demo. At scale, in production, with real users.

Most teams building voice agents are flying blind. They ship a demo that works, deploy it, and discover weeks later that 40% of conversations are failing. No evaluation infrastructure. No way to catch regressions before users do.

We built Coval because we've seen this movie before. Brooke led evaluation infrastructure at Waymo, where it takes millions of simulated miles before a vehicle touches a public road. Voice agents need the same rigor. Right now, almost nobody has it.

Nine people, backed by YC, closing six-figure enterprise deals with Fortune 500 companies, growing revenue 10x year over year. The space is moving fast. We're at the center of it.

What it's like here

We work in-person in SoMa, San Francisco. The office is shoes‑off, full of plants, and dog‑friendly. We bike, hike, skate, and run half‑marathons together.

The team comes from Waymo, Zoox, Apple, and Google. We are hard on our work but never hard on each other. We ship on Sundays because we want to, not because someone told us to. We move at AI speed: what used to take weeks happens in hours.

Our operating principle is "wholesome and unhinged." We are relentless about making things happen, but we don’t take ourselves too seriously. If you thrive in ambiguity, move fast, and want to be one of the first people building the sales foundations at a company that's already closing Fortune 500 deals, this is it.

Voice AI is where the market is going. We're already there. This is the best time to join.