Chief Technology Officer

Comp: $300K base + 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 Motorola, Kin Insurance, and Capella University. Eight people today, twenty by year-end.

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 schemas, validate extractions, identify statistical patterns, and trigger downstream actions, all autonomously.

What you'd own:

• 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 space. You will be responsible for keeping 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.

• Scale. We process millions of calls. The pipeline has to be fast, reliable, and cost-efficient. You'd own the infrastructure decisions that make that work.

• Team. We're scaling from three core engineers today to six to ten. You'd recruit top talent, set the technical culture, and make Voiceops a place the best engineers want to be.

Why This Role Exists

The CEO/founder is running engineering today. As we grow, we need someone to own this so the CEO can focus on hiring, go-to-market, and customers.

This role is working directly with the CEO on an ambitious product vision and bringing it to life as quickly as possible, keeping our platform and our clients at the frontier of what's possible with AI, and building a world-class engineering team around it.

You'll sit next to the founder and work together on product decisions as a true technical peer. You'll have full autonomy over architecture, tooling, hiring, and process. We're coming off a fresh fundraise and this is where we're investing our capital, because engineering velocity is the most important leverage point for the company right now.

What We're Looking For

Someone who has gotten incredibly good technically and is ready to take on the next level of responsibility. Maybe you were a founding engineer, a staff engineer, or a principal engineer and you're ready to step into a leadership role where you own both the technical direction and the team building around it.

Specifically:

• Deep experience building data-intensive backend systems

• Hands-on with modern AI infrastructure (LLMs, agent frameworks, inference optimization)

• A track record of earning deep respect within engineering organizations

• Comfort operating at the frontier of AI tooling while maintaining production reliability

• Strong opinions on architecture and process, held loosely when the data says otherwise

What It Takes to Thrive at Voiceops

We hire for curiosity, speed, ownership, intelligence, and kindness. We want someone who wants to lean in with the founder and have real ownership at an early-stage company where the work you do will determine the trajectory of the business. If that sounds exciting, reach out.

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 problem.

Company Mission

Our mission is to give every company superhuman abilities to serve their customers.

The most important thing happening inside any B2C company (insurance, financial services, etc.) is the conversation between the business and the customer. Millions of them, every day. These calls contain more signal about what’s working, what’s broken, and what to do next than any dashboard, CRM, or data warehouse ever will. And yet companies rarely hear more than 1% of them.

Voiceops turns those conversations into the intelligence layer for B2C revenue. Our platform listens to millions of calls, learns what good looks like, and builds a living model of how a business actually sells to and serves its customers. As companies automate their revenue functions with AI agents, those agents will need context, taste, and institutional knowledge to do their jobs well. We’re building the brain they plug into, whether that’s inside our platform or through open integrations like MCP.

Eight people today, twenty by year’s end. Multi-billion dollar clients and a product that’s working. We’ve raised $12M in seed funding from top-tier investors. We’re hiring across technical and customer-facing roles.

What it Takes to Thrive at Voiceops

We hire for extreme curiosity, speed, and high ownership. It’s only through those values and traits that we built what we’ve built with a team of 8, and it’s the foundation of who we are.

• Curiosity means you learn fast, ask great questions, and build strong instincts quickly. You can sit down with a customer’s VP of Sales in the morning and an implementation lead in the afternoon and both feel like you deeply understand what they care about. Off calls, you’re constantly asking how we can improve: what’s driving churn risk, where we can deliver more value, how we can make our customers more successful.

• Speed means you bias toward action. You respond to customer emails and internal Slack messages in minutes, not hours. When you spot a risk or an opportunity, you act on it right away rather than letting it sit.

• Ownership means you take full responsibility for outcomes. When a customer isn’t seeing value, you don’t wait for someone else to fix it. You figure out what’s going wrong and you drive the solution, even when there are dependencies that feel outside your control. The people who thrive here hold themselves to a higher standard than anyone else would hold them to.

We also just want to work with genuinely good people. Warm, reliable, coachable, and easy to work with. That matters to us as much as anything else.

Location

This role requires 5 days per week office attendance in our beautiful Union Square HQ which is located in New York City, NY.

Role Overview

We landed multi-billion dollar clients and achieved 13x usage growth with a team of 8 and zero dedicated marketing. The product works and the proof is there, now it's time to build a community of the right people around it!

As the founding marketing expert at Voiceops, you'll work directly with the CEO and Founder to set the strategy, find the most influential enterprise executives who are leading AI transformation at their companies, and make Voiceops the name they trust most. Not through cold outbound and worn out channels, but through showing up.

This is a broad role by design, primarily focused on building the voice of the company and ensuring our potential customers hear it! We don't expect you to be an expert in all of it on day one, but we do expect real exposure to the latest trends in AI adoption and instinct to figure out what matters most as we grow. The scope will evolve as you do.

• Build the Community. Host in-person events, webinars, and virtual panels that bring the right people together. Work our existing customer relationships to reach high-influence executives at B2B Enterprise companies. Get us into the conferences and conversations where buyers are searching for AI transformation and make Voiceops a familiar, trusted name in those rooms.You see the value in building credibility through technical communities, not just business ones.

• Tell the Story. Own our LinkedIn presence, the CEO's personal brand, the company website, and the content that ties it together. Create case studies, videos, and narratives that make what we do impossible to ignore. Give our sales and CS teams the language and one-pagers to carry that story forward.

• Grow the Footprint. Sharpen our website, build interactive tools that give buyers a reason to engage, and expand our visibility into the non-traditional channels where discovery actually happens today: AI-driven tools like ChatGPT. Identify partnerships and new growth channels, then pressure-test them fast.

Professional Requirements

• 5 - 10 years Enterprise SaaS Marketing focused on organic brand growth, AI community events, digital footprint, social media and more

• Brand Builder. This isn’t the first time you've taken a brand flying under the radar and made the market pay attention. You can run a webinar or walk a room of executives through an industry topic and hold the room

• Genuinely social. You like being in the room, working a conference, and building relationships that compound over time

• Laser focused on Channel. You have strong opinions on where enterprise buyers are discovering vendors today: AI search, dark social, peer communities and more

• Strong storytelling instincts. You can write, simplify a complex technical product, and make an Enterprise buyer feel the urgency

• Data-driven. You run experiments, track performance, and use the numbers to make the next campaign better than the last
  

Perks & Benefits

• Annual Salary range: $150,000 - $180,000 based on experience and education

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

• Flexible Paid Time Off: Unlimited PTO to support work life balance

• Seed-Stage Equity Grant: Get in early and share in the upside as we scale

• 401(k) with Employer Match: Safe Harbor plan with 100% match on the first 3% of your pay and 50% on the next 2%. Contribute at least 5% to maximize your match.

• Life & Disability Coverage: Company-paid life insurance, short-term, and long-term disability.

If this role sounds exciting but you’re not sure you check every box, we encourage you to apply! The best candidates often don’t fit a job description perfectly. We care most about curiosity, ownership, and the ability to learn fast. We look forward to hearing from you!

Voiceops is an equal opportunity employer. We do not discriminate based on race, gender, sexual orientation, religion, age, disability, or any protected status. Within the displayed salary range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need and market demands. The compensation range is subject to change and may be modified in the future.

Backend Product Engineer

Location: On-site, Union Square, NYC Compensation: $190k–$230k + equity

Why This Role Matters

We're building an AI agent that learns how a business works and then does real work across the revenue team. Teaching it a new task should take minutes. Running it across millions of conversations should be seamless. Making it useful from the rep all the way to the exec means the infrastructure underneath has to be fast, reliable, and smart about cost.

As our customers get larger and the agent takes on more, we're ready to invest deeply in the backend. We need someone to own it and build it for the next order of magnitude. This is our first dedicated backend hire.

About Voiceops

We're building an AI agent for revenue teams.

Every B2C company runs on conversations: sales calls, service calls, compliance calls, millions of them a day. The people on those calls develop deep expertise about the business, but that knowledge lives in their heads and disappears when they hang up. We're building the agent that captures it.

Our agent learns how a business works by listening to its conversations. It gets taught quickly what matters, gets onboarded to new tasks as the team's needs evolve, and becomes broadly useful to everyone from the frontline rep to the executive. It does QA. It scores leads. It enriches the CRM. It feeds market intelligence into strategy. It's one system that compounds in value the more it learns.

We work with insurance, financial services, and education companies, industries that form the backbone of the US economy. Our clients already include multi-billion dollar Fortune 500 companies that are using us to rebuild their revenue operations around AI.

Our team is scrappy, sharp, and fast-moving. Eight people, multi-billion dollar clients, and a product that's working. With this foundation, we are ready to scale our team.

The Role

You'll own the core infrastructure that powers the agent. Everything you build operates behind the scenes, but it directly determines how fast the agent can learn, how reliably it runs, and how far it can scale. The job comes down to three things:

Model orchestration and inference. You'll build the services that schedule, run, and evaluate models in parallel, thousands of them concurrently, while balancing cost, speed, and reliability. This includes the evaluation pipelines that score outputs for accuracy and consistency, and the systems that let the agent self-correct. When a customer teaches the agent a new task, your infrastructure is what makes it actually run.

Data infrastructure. Conversation data comes from everywhere: telephony platforms, CRMs, SMS, Slack. You'll build clean, resilient abstractions that process all of it into a unified schema that downstream systems can trust. You'll design relational schemas, optimize queries, and build systems that stay fast under load.

Integration and delivery. Our customers depend on Voiceops as a source of truth. You'll build the services that push structured data into their CRM systems, data warehouses, and the external agents that consume it. You'll also build the internal platform tooling (APIs, ingestion layers, developer tools) that make it simple for our team and our customers to interact with our AI systems.

You'll work directly with the CEO and across every function. This is a deeply technical building role. If you want well-defined boundaries, this isn't the right fit. If you want to own major pieces of infrastructure at a company that is processing voice data and driving agentic interactions at a large scale, keep reading.

Who Belongs Here

We hire for extreme curiosity, speed, and high ownership. It's only through those traits that we built what we've built with a team of 8, and it's the foundation of who we are.

Curiosity means you learn fast, ask great questions, and build strong instincts quickly. You think about the system and the long-term impact of your decisions, not just the immediate ticket. You care about solving the right problem, and you're the kind of engineer who asks "why" before "how."

Speed means you bias toward action. You measure progress in hours and days, not weeks. You ship code that runs in production on day one. When you see a reliability gap or a performance problem, you fix it now.

Ownership means you drive to done-done. The whole job is complete and no one else has to think about it. You spot the work nobody explicitly assigned and you just do it. The people who thrive here hold themselves to a higher standard than anyone else would hold them to.

We also just want to work with genuinely good people. Warm, reliable, easy to work with. That matters to us as much as anything else.

Requirements

• 3+ years building production backend systems in Node.js and TypeScript

• Deep AWS serverless experience: Lambda, Step Functions, SQS, SNS, SES, Aurora RDS, S3

• Comfortable with CloudWatch and X-Ray for performance and reliability work

• You know how to design relational schemas, optimize queries, and build systems that stay fast under load

• Fluent with Docker; Terraform experience is a plus

• Strong fundamentals in distributed systems, event-driven architectures, and API design

• You value practical testing and maintainable coverage

• You use agentic engineering tools in your daily workflow (we will provide generous token budgets). If you're not building with them already, this probably isn't the right fit

• Based in New York or willing to relocate (5 days a week in-office)

Full Stack Product Engineer

Location: On-site, Union Square, NYC Compensation: $190k–$225k + equity

Why This Role Matters

Revenue teams are being rebuilt around AI, and we're building the agent that makes it possible. The challenge is teaching that agent to understand a complex business quickly, onboarding it to new tasks as teams want AI to take on more and more of their operation, and making it useful and reliable to everyone from the frontline rep to the executive.

The interface to onboard the AI to new tasks, learn from its human overlords, and execute on those tasks to drive the business faster is what we're focused on. We've built the fastest system to onboard an AI to revenue work, and as the technology gets better and better, the next version of our agent is going to be a leap. You're going to be integral to pushing the frontier of how much work agents can do to drive revenue.

About Voiceops

We're building an AI agent for revenue teams.

Every B2C company runs on conversations: sales, onboarding, and success calls, millions of them a day. The people on those calls develop deep expertise about the business, but that knowledge lives in their heads and disappears when they hang up. We're building the agent that captures it.

Our agent learns how a business works by listening to its conversations. It gets taught quickly what matters, gets onboarded to new tasks as teams want it to take on more, and becomes broadly useful to everyone from the frontline rep to the executive. It does QA. It scores leads. It enriches the CRM. It feeds market intelligence into strategy. It's one system that compounds in value the more it learns.

We work with insurance, financial services, and education companies, industries that form the backbone of the US economy. Our clients already include multi-billion dollar Fortune 500 companies that are using us to rebuild their revenue operations around AI.

Our team is scrappy, sharp, and fast-moving. Eight people, multi-billion dollar clients, and a product that's working. With this foundation, we are ready to scale our team.

The Role

You'll own the full surface area between our agent and the humans who teach it, use it, and trust it. The job comes down to three things:

Teaching the agent. It's a React/TypeScript workspace where users teach the agent what matters in their business, review its work, and onboard it to new tasks without writing code. You'll bridge the gap between complex backend orchestration and a simple, fast user experience. The goal is for a customer to go from "I want the AI to do this job" to having that job done by the agent in minutes.

Data and agent orchestration. You'll build the services and abstractions that make this possible: scheduling and evaluating thousands of concurrent models, ingesting data from telephony, CRM, SMS, and Slack into a single schema, and pushing structured outputs into Salesforce, HubSpot, Snowflake, and Segment. Clean pipes, reliable delivery.

The agent at work. This is what differentiates us from nice software dashboards. The agent doesn't just produce data, it does the tasks. It escalates when it gets stuck. It keeps managers in the loop. It works directly alongside reps. It improves its memory over time and learns on the job. You'll build the surfaces that make all of that visible, trustworthy, and fast.

You'll work directly with the CEO and across every function. This is a building role. If you want a well-scoped ticket queue, this isn't the right fit. If you want to take ownership of the product experience, talk to customers, and build something that matters, keep reading.

Who Belongs Here

We hire for extreme curiosity, speed, and high ownership. It's only through those traits that we built what we've built with a team of 8, and it's the foundation of who we are.

Curiosity means you learn fast, ask great questions, and build strong instincts quickly. You can go from "I've never touched this part of the stack" to "I shipped it" in a day. You care about the user story, not just the code path, and you want to understand why we're building something before you build it.

Speed means you bias toward action. You measure progress in hours and days, not weeks and months. When you see a gap between what exists and what should exist, you close it. You don't wait for a spec.

Ownership means you drive to done-done. The whole job is complete and no one else has to think about it. You spot the work nobody explicitly assigned and you just do it. The people who thrive here hold themselves to a higher standard than anyone else would hold them to.

We also just want to work with genuinely good people. Warm, reliable, easy to work with. That matters to us as much as anything else.

Requirements

• 3+ years building production software across the stack with React and TypeScript

• Comfortable in the JavaScript/TypeScript ecosystem: Node, npm monorepos, Vite, esbuild

• Hands-on AWS experience: Lambda, SQS, S3, CloudWatch

• You know how to design data models, APIs, and clean abstractions for large, messy datasets

• A taste for simple, fast UIs and reliable services

• You write tests (Jest or similar) and value practical, maintainable coverage

• You use agentic engineering tools in your daily workflow (we will provide generous token budgets). If you're not building with them already, this probably isn't the right fit

• Based in New York or willing to relocate (5 days a week in-office)