Founding AI Engineer

New York City (Union Square). In-person. $200,000 to $250,000 plus equity & token budget.

What We Do

Voiceops is the intelligence layer for consumer-facing businesses. We turn millions of customer conversations into a live model of how the business runs, and use it to power agents that take on the work across sales, product, marketing, and operations. 

$12M raised, seed stage company. Customers include Motorola, Kin Insurance, and Capella University.

The Technical Problem

Voice data is messy, unstructured, and massive. A single client of ours can generate millions of calls per year across dozens of product lines, geographies, and agent populations. Extracting reliable structure from that data, structure accurate enough to run production workflows on, requires multi-level agent systems that discover structure in the data, validate extractions, identify statistical patterns, trigger downstream actions, and continually learn, all autonomously.

What you’d build:

• Architecture. Multi-layer agent systems that autonomously discover structure in raw conversation data, then orchestrate downstream agents to act on it. This is systems design at a level that no other company in our space is operating at.

• Frontier. AI is moving so fast. Our non-technical users are building their own tools with Claude Code! The architecture has to evolve at this pace. You will help us keep the system at the edge of what's possible, beyond what our clients can dream of: new inference strategies, new model capabilities, new ways to get 10x more out of the same team and system.

• Scale. We process millions of calls. The pipeline has to be fast, reliable, and cost-efficient. You'll work on the infrastructure that makes this work.

There is a wide gap between a demo of an AI product and an AI product that actually works for real customers. We are hiring engineers who can build on the right side of that gap. 

Why this role exists

We increasingly believe the data layer is the whole game in AI. Most tools start with a point solution and try to inject intelligence into it. We are doing the opposite: build the intelligence layer first (from data), and let the point solutions (sales coaching, lead scoring, business insights, CRM updates, agentic workflows, voice agents) fall out as different activations of the same underlying intelligence.

The market demand is here. Our biggest growth bottleneck is engineering velocity. Customers pull us into new features every week, stretch the product by using it for more things (and break our system in the process!), and bring us into CTO and CIO conversations about broader AI transformation. Even our non-technical users are building their own tools on top of us with Claude Code. Product velocity is where our recent capital is going.

We are building a small, elite team that ships fast and sits in the same room. You will work next to the CTO and CEO, talk to customers directly, and ship in hours and days rather than weeks and months.

About you

You are familiar with how modern AI products are built and shipped. You have worked with LLMs, agents, tool use, and the standard moving parts, and you have opinions about what works and what does not.

You have shipped real software to real users. You can describe in detail something you built, what broke, and how you fixed it. You move across the stack and have product instincts. You do not need a clean spec to start.

If you bring deep experience in any of the following, tell us. We are hiring across a few different shapes of this role, and these are the areas where we want strong owners.

• Building AI agents that operate over large or messy datasets, with thoughtful sampling, summarization, and bounded queries.

• Designing multi-agent systems and pipelines. Layered agents, generator and critic loops, planners and executors, and orchestration where one agent's output drives another's work.

• Agentic chat that reasons over real customer data and can act on it.

• Building AI products that ask very little of the user. This means the UI itself, plus the scaffolding behind it: smart defaults, agent harnesses, and prompt structures that let the agent do the heavy lifting on the user's behalf.

• Evals, observability, and the feedback loops that turn customer feedback into measurable product improvements.

• Voice agents of any kind. Outbound or inbound calling, real-time conversational systems, coaching, or anything else where audio is in the LLM loop.

• Workflow or pipeline builders where users compose actions through chat.

Stack

TypeScript across the stack, React and Vite on the frontend. Postgres with Prisma. AWS infrastructure. LLMs from Bedrock and OpenAI. We build our own agent code rather than using a framework.

Perks & Benefits

• Health & wellness: 100% employer-paid insurance premiums for employees with options to add family members at low cost

• Flexible PTO

• Seed-stage equity grant

• 401(k) with employer match: 100% match on the first 3% of pay, 50% on the next 2%

• Company-paid life insurance, short-term and long-term disability

How to apply

Email Ali at ali@voiceops.com, include your github and linkedin profile, and any experience of note that is relevant to what we’re building. Resume optional.

Founding Account Executive

Comp: $300k OTE ($150k base; $150k variable); very aggressive commission; meaningful seed-stage equity 

Location: NYC, in-person (Union Square)

Company

Voiceops helps consumer facing businesses turn millions of sales calls into a live model of how their revenue engine actually works: why customers buy, why they don’t, where reps struggle, which leads are worth time, and where revenue is quietly leaking. We use that model to surface insights, automate workflows, and power AI agents across the business.

We’ve raised $12M, are seed-stage, and work with large enterprises including Motorola, Kin Insurance, and Capella University.

The Sales Motion

Our buyers are VPs of Sales and COOs at mid-market and enterprise B2C companies carrying a revenue number they’re not sure they’ll hit. They have urgent questions (like why conversion is down, which leads are a waste of time, and why top reps outperform bottom reps by 2X) that they can’t answer despite sitting on millions of customer calls that contain the answers.

That’s the pain we sell to: showing them they are data-rich but insight-poor, that Voiceops can finally extract the answers, and that those answers can drive a step-change in their revenue performance. Increasingly, this is also a dual sale to CIOs and CTOs who see customer call data as the foundation for AI transformation.

What You’ll Do

• Build pipeline. You will build relationships with executives we can help. That means working referral networks, getting coffees, traveling to conferences, staying close to customers, and turning one good relationship into five more. You’ll go beyond sequencing people into oblivion. The goal is to become the kind of person executives actually want to talk to and open doors for.

• Run deals. You will own six-figure sales cycles from first conversation to signature (actually, to invoice paid :) You will understand the business problem, buying dynamics, political map, risks, and path to close. You will be clear about what needs to happen next, who owns it, and whether the deal has legs.

• Help crack the sales motion. We have a defined sales process we have used to sell many six figure deals, but we are still early. You will help sharpen the narrative, proposals, ROI cases, mutual action plans, pricing, packaging, and executive story. We have a lot of market pull, but the GTM motion is not fully figured out and you will help us do that, with a chance to ultimately lead a team if you want it and earn it.

Why This Role Exists

Honestly, our primary bottleneck has been engineering capacity.

There is a lot of market demand. Customers are pulling us into new features every week, stretching the product by using it for more things than intended (and breaking our system in the process!), and bringing us into bigger AI transformation conversations.

That bottleneck has been mostly solved. We hired a kickass CTO (an ex-founder with a PhD in Machine Learning from Oxford), and we are building a senior engineering team around him in New York. The recent jump in shipping velocity has already opened up major expansion opportunities, pulled deals forward, and generated referrals across our clients’ networks.

So now we have a new, good problem: sales capacity. We need a senior team of sellers who can hit the ground running, own six-figure deals, drive expansions, and make the most of the opportunity in front of us.

About You

- really smart AND really nice
- execs listen a little more carefully when you're in the room
- you move crazy fast (in minutes, not hours/days/weeks)
- you know how to get what you want
- you agree that networks/relationships > sequencing into oblivion
- you want to keep our engineering team on its toes b/c we move GTM so fast :)

Commission Plan

Very aggressive. Our founder/CEO understands how hard sales is having done it. We’re committed to paying aggressive commissions (way more than you currently are on) for quality revenue.

Requirements

• You’ve sold B2B technical solutions ideally to a VP of Sales, Revenue, Operations, or CX (B2C experience is NOT applicable, inbound only transactional experience is NOT applicable)

• You’ve sold minimum committed annual contracts of $100K (insertion order based contracts DO NOT count)

• You have at least 2 years of quota carrying closing of annual COMMITTED contracts. The ACV can be smaller to start as you’ve progressed in developing your SalesIQ.

• You close deals every month

• NYC based only, 5 days a week in-person at our Union Square office

Perks & Benefits

• Health & wellness: 100% employer-paid insurance premiums for employees with options to add family members at low cost

• Flexible PTO

• Seed-stage equity grant

• 401(k) with employer match: 100% match on the first 3% of pay, 50% on the next 2%

• Company-paid life insurance, short-term and long-term disability

Reach out to ethan@voiceops.com if this sounds like your kind of role.