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: competitive base + very aggressive commission; meaningful equity 

Location: NYC, in-person (Union Square)

Company

Voiceops analyzes millions of sales calls and turns them into structured intelligence that agents and systems operate on. $12M raised, seed-stage company. Customers include industry leaders like Motorola, Kin Insurance, Capella University. Eight people today, twenty by year-end.

What we do

B2C companies run millions of sales calls a year. Each one is a dense, unstructured record of what customers think, what reps said, what closed, what didn't, and what the market is telling you. Turning that into structured data the business and AI agents can actually act on is a foundational problem, and it's still open.

Voiceops is building the layer that solves it. We turn calls into structured intelligence automatically, and that unlocks everything downstream: agents that act on conversations, automated workflows, and a live read on how the business actually runs. The ROI shows up across the whole GTM surface: higher LTV, lower CAC, sharper marketing, better conversion, and earlier churn detection.

We sell to tech-forward B2C companies in insurance, financial services, healthcare, and education. Average deal size is $140K. Note: our customers are B2C, but we sell B2B software to their executive teams.

The Role

• A unique opportunity to take over from founder-led sales and become our first senior AE.

• Continue to work closely with the founder/CEO to run the existing pipeline.

• The founder/CEO has already sourced and closed several large enterprise committed contracts. aka, these are real bookable contracts that represent the quality of the pain we solve.

• The simple sales process is already established, the ICP targets identified, and we've consistently been able to get to key executives at giant enterprises. Initially you'll execute the existing process, then evolve it as needed.

• This founding hire sets the tone for Voiceops GTM focus and you'll have the opportunity to build and define how this team executes and, most importantly, the type of people we hire. You'll have the opportunity to lead and build the team if you earn it.

Ideal candidates have technical backgrounds or can demonstrate the ability to learn technical concepts quickly (as in hours, not days/weeks).

This could be you if

• You're extremely smart

• You're a first-principles builder

• You want to focus your superpowers on a massive data problem that shapes trillions of dollars of consumer buying decisions every year

• You're customer-focused at the core

• You're competitive at the core

• You're empathetic at the core

• You're a problem solver at the core

• You're a team player at the core

• You don't fit in on your current team because your leadership is focused on quantity (make more deals) vs QUALITY. Voiceops is focused on QUALITY in every dimension of the business.

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, 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.