Coval

Coval is the simulation and evaluation platform for AI voice and chat agents. We’ve raised a $6M seed round, grown revenue 10x in 12 months, and are seeing strong enterprise demand for automated agent testing and monitoring. We’re hiring a founding Account Executive to report directly to the CEO and help build Coval’s revenue engine from the ground up — from first outbound message to signed contract. What’s Coval all about? AI agents are here to stay, and Coval is building the infrastructure that powers reliable, trustworthy agent deployment. Our approach brings simulation-based evaluation principles to conversational AI, helping teams test and monitor voice and chat agents at scale. Why this role exists Coval has early traction, but founder-led sales has a ceiling. We need someone who can turn that traction into a repeatable, scalable commercial motion. This is not a role where you inherit a mature playbook, a large pipeline, or a team of SDRs. You’ll be the first dedicated seller at Coval, working directly with the Founder to define how we sell, who we sell to, and what the commercial motion looks like as we scale. What you’ll own - Build and own pipeline from scratch - Run full-cycle deals from first conversation through signed contract - Improve sales stages, qualification criteria, and deal progression standards - Help build CRM infrastructure and forecasting discipline - Shape competitive and POC strategy, including evaluation frameworks that highlight Coval’s strengths - Close deals with clear success criteria and set the foundation for expansion and retention Who you are - You’re a builder-seller who has created pipeline from zero before - You’re comfortable owning commercial complexity including security reviews, procurement, and legal redlines - You think in systems, not just deals - You can translate technical product value into business urgency - You’re highly autonomous, adaptable, and coachable - You work well cross-functionally across engineering, product, and design Experience that matters - 3–5 years of full-cycle closing experience - Experience in an early-stage or no-playbook environment - Demonstrated ability to self-source pipeline - Comfort selling technical or infrastructure products to technical buyers - Experience navigating enterprise procurement processes Strong signals - You’ve sold AI infrastructure, developer tools, observability, or trust/compliance platforms - You’ve sold to both technical buyers and business stakeholders - You’ve shaped competitive POC criteria and won nuanced enterprise deals

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. WHAT WE'RE LOOKING FOR • You're deeply immersed in AI. Not just using LLMs, but understanding how to build real systems on top of them: prompt engineering, evaluation, tool calling, memory, retrieval. • You're creative and curious. You look at a product and see where AI should be and where it shouldn't. You have strong intuitions about what SaaS of the future looks like. • You have high agency. You don't wait to be told what to build. You look at the company, the product, the customers, and you see what needs to happen. • You've built AI-powered features in production, not just prototypes. You know the difference between a cool demo and something customers depend on. • You're excited about voice AI specifically, or you're ready to go deep on it. We're consistently seen as experts in the space, and you'll help maintain that. • You can move across the full stack when the problem demands it. This isn't a pure research role. You ship things. WHAT YOU'LL WORK WITH You'll work primarily in Python, building AI systems on top of LLM APIs with modern cloud infrastructure. When the problem takes you there, you'll also work across our TypeScript frontend. We invest in tooling that keeps iteration speed high.

WHY THIS PAGE EXISTS Everyone at Coval operates outside their job description daily. Our designer writes the second-most PRs on the team. Our head of rev ops builds data pipelines and ingests meeting transcripts. Our senior engineers code mostly in natural language. Our customer success manager builds reports with AI tools. None of us fit in a box. We hire for spikes: people who are the best in the world at something specific, and then we let them run. If you don't see a role on our careers page that fits you, we'd rather hear from you than miss you. WHAT WE WANT TO KNOW What's your obsession? What do you stay up late thinking about? Where have you been so in flow that the work didn't feel like work? Where were you pivotal? Tell us about a time you were at a company and you were genuinely critical to something working. What did you do and why did it matter? How has AI changed what you can do? We're serious about this. We want to hear about the ways AI has expanded your capabilities. Not theoretically, but in practice, right now. What role doesn't exist yet? At Coval or anywhere. We're doing category creation — building something that doesn't have a playbook. We want people who think about what's missing, not what's already been done.

THE ROLE Coval has a strong land-and-expand motion. You'll own the customer relationship post-sale: onboarding, adoption, retention, and expansion. Your job is to turn every landed account into a growing one. • Drive onboarding and adoption. Get customers live, help them build evaluation strategies that actually surface signal, and make sure the right people inside their org are using the platform. • Own expansion. Navigate internal orgs to find the buyer, connect the buyer with the user, and build the business case for expanding budgets. You're the account executive for growth within existing accounts. • Coordinate with Forward Deployed Engineering. You'll work closely with our FDE team to make sure technical implementation matches what the customer needs. You set the direction; they build the solution. • Be the voice of the customer internally. You'll know what's working, what's not, and what customers need next — and you'll make sure the product team hears it. WHAT WE'RE LOOKING FOR • You've done customer success, account management, or post-sale work at a technical product company, ideally a fast-moving startup. • You can navigate complex organizations: find the decision-maker, build the champion, make the business case. • You're comfortable with technical products. You don't need to write code, but you need to understand what evaluation infrastructure means for a voice AI team and speak their language. • You're organized and proactive. You don't wait for customers to tell you something is wrong. • You're genuinely curious about voice AI and want to develop real expertise in evaluation infrastructure.

THE ROLE This is the first dedicated finance hire at Coval. You'll own the financial foundation of a company that's scaling very fast, past the point where the founding team can run it on spreadsheets. What this looks like: • Financial planning and modeling. Cost modeling, business case modeling, headcount planning, runway projections. You'll build the financial picture that informs every major decision the company makes. • Accounting and compliance. Managing our books, filing taxes correctly, coordinating with external accountants and auditors. The boring stuff that has to be airtight. • Fundraising support. Building data rooms, preparing financials for investors, supporting due diligence. We're growing fast and the fundraising cycle doesn't stop. • Pricing and packaging. Working closely with sales and product to figure out how we price, package, and monetize. You'll model the economics and help us get the strategy right. This is not a static finance role. You'll start broad and as the company scales, you'll help define what the finance function becomes and who we hire into it. WHAT WE'RE LOOKING FOR • You've done finance at a high-growth startup and you know what it looks like when a company hits the Series A inflection point. • You can build a financial model from scratch and you actually enjoy it. • You're comfortable with ambiguity. The priorities will shift fast, and you'll need to shift with them. • You want to be close to the product and the customers, not siloed in a back office. You'll sit with engineers and salespeople, and you'll understand what they're building and selling. • You have good judgment about where to be precise (financials, compliance) and where to move fast (pricing experiments, forecasting assumptions). • You're excited about AI and want to use it daily. We don't do repetitive work here — we automate it.

THE ROLE We've been founder-led sales to this point. It's working: six-figure enterprise deals, Fortune 500 customers, strong inbound pipeline. But we need someone who can take what's working and turn it into a machine. You'll come in as the CEO's right hand on revenue. That means: • Carrying a bag first. You'll start by closing deals yourself. You need to understand the product, the buyer, and the sales cycle from the inside before you build anything on top of it. • Building a repeatable sales motion. Within six months, you'll have defined the playbooks, ICP, and processes that let us scale beyond founder-led sales. What does our sales team need to look like? What's the profile of the people we need to hire? You'll answer those questions and then execute on them. • Owning the sales strategy end to end. Which verticals do we go after? How do we expand within existing accounts? What's the right balance of inbound and outbound? You'll own the strategy and be accountable for the number. • Building the team. You'll hire, coach, and lead the sales team as we grow. You'll define the roles, set the bar, and build a culture of people who know how to sell a technical product into enterprise. WHAT WE'RE LOOKING FOR • You understand the voice AI space, or the broader AI infrastructure space, well enough to ramp fast. You know what makes selling and implementing autonomous voice agents hard, and you can speak to it with credibility. • You've built a sales team before at an early-stage company. Not inherited one. Built one. Defined the process, hired the people, carried deals while doing it. • You have experience selling developer tools or technical infrastructure to enterprise. Strategic accounts with long sales cycles and multiple stakeholders — that's your comfort zone. • You're not looking for a playbook. You're looking for a product that's already working, a market that's on fire, and the chance to build the sales foundations from the ground up. • You would leave your current role because you see what we see: evaluation infrastructure for voice AI is an inevitable category, Coval is already there, and the window to build the go-to-market engine is right now.

THE ROLE You'll sit at the intersection of our product and our customers, deeply embedded with the teams building the most advanced voice AI agents in production today. Some days that means writing code. Other days it means shaping evaluation strategy. Every day it means making customers wildly successful. • Build bridges. We call them that internally: the integrations, connectors, and quality-of-life features that make Coval click for a specific customer or use case. You'll ship fast, validate whether it belongs in the core product, and move on. • Hunt for friction. You're in the product every day alongside customers. You'll find the sharp edges before anyone else and either fix them yourself or work with engineering to eliminate them. • Shape the product roadmap. You're the closest person to real customer needs. You'll translate what you see into what we build. Not by writing tickets, but by forming opinions and advocating for them with prototypes and data. • Be a voice AI evaluation expert. You'll develop opinionated eval strategies, learn from the teams building production-grade agents, and bring that knowledge back into the platform. The balance shifts depending on the account. Some are deeply technical and you'll be writing code daily; others need strategic guidance on how to evaluate their agents. You'll do both. WHAT WE'RE LOOKING FOR • You write code in Python and/or TypeScript and you're comfortable working across APIs, integrations, and customer-facing technical problems. • You get energy from customers. Staying up late to ship something that unblocks a customer sounds like a good night, not a bad one. • You can zoom in on a specific technical problem and zoom back out to see how it fits the bigger picture. • You move fast but you know the difference between a smart experiment and technical debt that'll haunt you. • You're curious about voice AI and evaluation, or you're the kind of person who gets obsessive about whatever domain you land in. WHAT YOU'LL WORK WITH You'll work in Python and TypeScript across API integrations, customer-facing builds, internal tooling, and evaluation strategy. We invest in tooling that keeps iteration speed high.

THE ROLE Every simulation we run touches multiple models (LLMs, speech-to-text, text-to-speech), and our Fortune 500 customers need hundreds, sometimes thousands of these running concurrently. Making that fast, reliable, and cost-efficient is the job. We've built the skeleton. Our team has done this before: running single-digit-percent-of-Google-scale compute at Waymo for massive workloads. The auto-scaling foundations, the queuing systems, the monitoring patterns are in place. But we're at an inflection point — demand is growing fast and there's a ton of low-hanging fruit: optimizing how many workloads run on a single machine, tuning scaling algorithms, deciding what to self-host versus what to keep as managed services. You'll own our model infrastructure end to end: • Scaling GPU and compute infrastructure. Architect and operate the auto-scaling systems that handle spikes of hundreds to thousands of concurrent simulations. Optimize how we provision, schedule, and monitor GPU instances. • Making the hosting decisions. We use a mix of closed-source hosted models and open-source self-hosted models today. You'll evaluate the tradeoffs (cost, latency, quality) and make the calls on what to host, where, and how it connects to the rest of our pipeline. • Making our pipelines go fast. You're obsessive about performance. You want to know exactly what compute we're using, where the bottlenecks are, and how to squeeze more throughput out of every machine. You live in monitoring dashboards and you love it. • Staying on the frontier of models. Voice AI models are getting commoditized, and we get to experiment with all of them. You'll benchmark the latest models across the full voice stack, run comparisons, and help us stay ahead of what's coming next. What makes this more interesting than a similar role at a bigger AI company: you're not scoped to a narrow set of tasks. You'll develop and architect large parts of our compute infrastructure, and you'll shape the decisions about which models we run and how. WHAT WE'RE LOOKING FOR • You've built and operated auto-scaling infrastructure for compute-heavy workloads, ideally involving GPUs and model serving. • You're a hardware nerd at heart. You care about what instances we're running, how scaling policies are tuned, and whether we're leaving performance on the table. • You're obsessive about monitoring and observability. You want to know when something is degrading before it becomes an incident. • You can make pragmatic calls on build-vs-buy, self-host-vs-managed, open-source-vs-closed. You're excited about the latest open-source models but you know when paying for a service is the right move. • You're curious about the full voice AI model stack (LLMs, STT, TTS) and you want to be immersed in how these models evolve month to month. • You want to shape infrastructure at a company where the decisions aren't already made for you. WHAT YOU'LL WORK WITH You'll work in Python, building and operating auto-scaling compute infrastructure on AWS with GPU instances, containerized deployments, and modern observability tooling. You'll work across both self-hosted open-source models and managed API services.

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.