Backend Product Engineer

Location: New York, NY |
Type: Full-time

We are unlocking the richest dataset in the enterprise: human conversation.

Companies interact with customers millions of times a day. This data is dense, high-fidelity, and historically unusable. Voiceops changes that. We turn massive streams of audio and text into structured, queryable data that powers decision‑making across the entire business.

We serve multiple $1B+ revenue companies, including Fortune 500 leaders, who rely on us to automate QA, score leads, and feed live market data into their systems.

The momentum:

Our software works. Our customers use Voiceops today to automate QA on 100% of their calls, populate knowledge bases with real‑time data, source real‑time market information, and enrich their CRM.

We are backed by the best. We raised a $5M Seed round co‑led by Bonfire Ventures and Twelve Below, with support from Village Global, Precursor, Not Boring Capital, and executives at Anthropic and Airbnb.

We are building the future. The shift to agentic software is a 10x larger opportunity than the SaaS era, and agents are starved for data and context. We are feeding these hungry machines with high‑fidelity context (conversation data) that enables the next generation of software to operate autonomously.

Voiceops is looking for a Backend Product Engineer to build the core infrastructure that powers our AI reasoning systems. Your work will operate behind the scenes, enabling models to run, evaluate, self‑correct, and integrate with the rest of the enterprise data ecosystem.

You will design and evolve the backend systems that power our model orchestration, data flows, evaluation pipelines, and the services that transform raw conversation data into structured intelligence.
Your work will directly determine our speed, reliability, and ability to support larger and more complex customers as we grow.

This role is deeply technical. You will own major pieces of the backend stack, building the services that power both our user‑facing product and the AI systems behind it.

Model Orchestration Platform. The services that schedule, run, and evaluate models in parallel while balancing cost, speed, and reliability.

Inference and Evaluation Pipelines. Systems that ingest data, run models at scale, and score outputs with accuracy, consistency, and auditability.

Data Infrastructure. Clean, resilient abstractions for processing conversation data from telephony, CRM, SMS, Slack, and other sources into a unified schema that downstream systems can trust.

Integration and Delivery Systems. Services that push structured data into CRM systems, warehouses, customer tools, and external agents that depend on Voiceops as their source of truth.

Internal Platform Tooling. APIs, ingestion layers, and developer tools that make it simple for internal teams and customers to interact with our AI systems.

We don't care about titles or credentials. We are looking for "Magical Teammates" who:

Move Fast, Learn Fast: You measure progress in hours and days, not weeks. You prioritize speed of execution and learning over perfect information.

Drive to "Done‑Done": You ensure the whole job is complete so no one else has to think about it ever again.

Jump All The Way In: You spot the work nobody explicitly assigned and you just do it. You consistently shoulder an amount of responsibility that wows people.

Work Out In The Open: You hate silos. You pull people into your work, hunt for feedback, and keep the team moving forward together.

Real Backend Experience.
You have 3+ years building production backend systems in NodeJS and Type Script. You know how to design reliable services and ship code that runs in production on day one.

AWS Serverless Expertise.
You have hands‑on experience with Lambda, Step Functions, SQS, SNS, SES, Aurora RDS, and S3. You are comfortable with Cloud Watch and X‑Ray for performance and reliability work. You understand AWS security fundamentals.

Data and Storage.
You know how to design relational schemas, optimize queries, tune performance, and build systems that stay fast under load.

Containerization and…