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)

Founding Customer Success Lead

Location: On-site, Union Square, NYC

Compensation: $130k - $170k + equity

Why This Role Matters

Our customers are large enterprises making big bets on AI. When they work with us, they need to feel like they’re in extraordinary hands. That’s what this role is about.

Today, our customer relationships are spread across the CEO, engineering, and operations. It works, but it doesn’t scale, and we’re not as good at it as we’d like to be. We need one person to own customer health end to end: the executive relationships, the onboarding, the value delivery, and the systems that make all of it repeatable.

This is our first customer success hire. You’ll build the function from scratch.

About Voiceops

Every revenue team is about to be rebuilt around AI. Voiceops is the AI platform to help B2C companies get there. Our products automate the work that drives revenue: sales coaching, compliance, lead scoring, CRM enrichment, marketing strategy, product strategy, and customer communication. We combine frontier AI, deep domain expertise, and an enterprise-grade platform to help companies transform into AI-first revenue operations.

We work with insurance, financial services, and education companies, industries that form the backbone of the US economy. AI is going to be transformative for these businesses and for the consumers they serve. Our clients already include multi-billion dollar Fortune 500 companies.

Our AI is the first that learns on the job. It observes work, tries tasks, and asks questions along the way, quickly becoming a top employee whose expertise scales infinitely.

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 be the single point of ownership for how our customers experience Voiceops. Right now that’s a portfolio of high-value enterprise accounts. As we grow, so does the book.

The job comes down to three things:

Executive relationships. This is the most important part of the job. Our customers are run by senior leaders who are making a bet on us and on AI. They need to feel like they have a partner who understands their business, anticipates their needs, and makes them look good internally. Today our CEO handles most of these relationships. You’ll take them over and do it better. That means you’re the kind of person a VP or C-suite exec trusts immediately, not because you’re polished, but because you’re sharp, prepared, and genuinely helpful.

Onboarding and value delivery. You’ll coordinate the end-to-end customer journey, from initial deployment through ongoing value delivery. You’ll work across our engineering, operations, and product teams to make sure customers are set up well and seeing results fast. You’ll surface insights on what’s working, flag risks early, and make sure every customer feels like they’re getting outsized value from the platform. You own retention.

Systems. You’ll build the playbooks, health scoring, and processes that make customer success repeatable as we scale. We’re an AI company and we expect every function to be built AI-first. That means your first instinct should be to automate, not to manually track. You should be comfortable using AI tools not just for productivity but for building agentic workflows. Think beyond ChatGPT to tools like Claude Code and similar platforms where you’re actually building systems, not just asking questions. You don’t need to be a developer, but you do need to think like one.

You’ll work directly with the CEO and across every function. This is a building role. If you want a playbook handed to you, this isn’t the right fit. If you want to write the playbook, keep reading.

We see this role growing into a broader customer-facing leadership function: owning the customer success team, shaping how we think about customer experience, and having a seat at the table as we scale.

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 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, easy to work with. That matters to us as much as anything else.

Requirements

5+ years of customer success, account management, or client-facing experience at a B2B SaaS company, ideally working with enterprise accounts in a startup or high-growth environment

You’ve personally owned executive-level relationships and have a track record of driving retention and customer outcomes

You’ve built or significantly improved CS processes, not just followed them

You’re already using AI tools in your workflow and excited to push further. Comfortable with agentic coding tools, not just chat interfaces

You’ve consistently been a top performer on your team

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

Founding Recruiter 

Location: On-site, Union Square, NYC

Compensation: $130–160K + equity

Why This Role Matters

This is the first recruiting hire we’re making, and we think it’s one of the most important hires we’ll make all year. Because every other hire runs through this one. We’re about to scale the team significantly, and the person in this role will shape who we are as a company.

About Voiceops

Every revenue team is about to be rebuilt around AI. Voiceops is the AI platform to help B2C companies get there. Our products automate the work that drives revenue: sales coaching, compliance, lead scoring, CRM enrichment, marketing strategy, product strategy, and customer communication. We combine frontier AI, deep domain expertise, and an enterprise-grade platform to help companies transform into AI-first revenue operations.

We work with insurance, financial services, and education companies, industries that form the backbone of the US economy. AI is going to be transformative for these businesses and for the consumers they serve. Our clients already include multi-billion dollar Fortune 500 companies.

Our AI is the first that learns on the job. It observes work, tries tasks, and asks questions along the way, quickly becoming a top employee whose expertise scales infinitely.

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

This is our first recruiting hire. We’re building out the team over the next six months, roughly a dozen people across sales, marketing, product, and engineering. You’ll own the full recruiting function.

The job comes down to three things:

Sourcing. You’ll build the systems that keep our pipeline full. We’re an AI company and part of this job is making our recruiting AI-first, so you’re in a sense PM’ing an internal product: our AI recruiting function. That means outreach, candidate discovery, database building, and pipeline management should be automated and agentic wherever possible. Your first impulse should be automation, especially in sourcing, which is a lot of repetitive tasks that need to be done at scale. This is a real opportunity to build one of the first truly AI-native recruiting functions from scratch. If you’re the kind of person who’s already experimenting with AI tools and wants to push that further, this is the role where you get to go all the way.

Screening. You’ll run first calls with full autonomy. You decide who moves forward. That means developing a sharp sense for what “great at Voiceops” looks like and making judgment calls we trust. The goal is to evaluate fit, but you do not need to screen technical skills.

Selling. You are the first impression of the company. Candidates should finish a call with you and want to keep going. That means you can articulate what we’re building with conviction, make people feel the momentum, and get them excited about joining something early and consequential.

As our first recruiter, you’ll work directly with the CEO to build the systems from scratch: ATS, scorecards, messaging, process. If that excites you, keep reading.

We see this role growing into a broader people function: owning employer brand, building a recruiting team, shaping how we onboard and develop talent. The scope will grow as the company does, and you’ll have a seat at the table as we figure out what that looks like.

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. On calls, you can talk to an AE candidate in the morning and an engineer in the afternoon and both feel like you get what matters to them. Off calls, you’re constantly asking how we can improve: what’s working in the pipeline, whether results match our scorecards, how we can move faster, what we’re missing.

Speed means you bias toward action. You respond to emails and Slack messages in minutes, not hours. When you have a new idea, you act on it right away rather than letting it sit.

Ownership means you take full responsibility for outcomes. When something doesn’t go right, you look for what you could have done differently and what you can do better going forward. You make sure things get to done-done, even when there are dependencies 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, easy to work with. That matters to us as much as anything else.

Requirements

• 3+ years of full-cycle recruiting experience, ideally at a startup or high-growth company
• You’ve hired across multiple functions (sales, engineering, product, marketing) and have a track record of closing strong candidates in competitive markets
• You’ve consistently been a top performer on your team
• You’re already using AI tools in your workflow and excited to push further
• Based in New York or willing to relocate (5 days a week in-office)