Join Hyperbound as a Full-Stack Software Engineer in San Francisco to build the future of agentic sales. Working directly with engineer-founders, you will develop mission-critical features using a modern TypeScript stack including Next.js, NestJS, and AWS. This high-intensity role involves building real AI components that directly drive multi-million dollar enterprise contracts.
Full-Stack Software Engineer at Hyperbound
Hyperbound is hiring a Full-Stack Software Engineer in San Francisco to build the first Revenue Activation Platform. As part of a high-intensity, engineer-led team of former founders, you'll ship mission-critical AI/LLM features that directly move the needle on $800k contracts. If you thrive in a 5-day on-site environment where you build, deploy, and see immediate customer impact, this is your chance to own a core part of an agentic OS.
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Location
San Francisco, United States
Compensation
$190k-$225k + Equity
Company
Hyperbound
Role overview
AI, Salestech, SaaS30-50 employees
Hyperbound (YC S23) is the Revenue Activation Platform, an agentic OS for sales that closes the loop between behavior, coaching, and execution. We’re a system that changes what happens next, and we’re reshaping the structure of our customers’ sales orgs in the process. As the inventors of AI sales roleplay, we help enterprise sales teams practice, measure, and scale top-performer behaviors. We 5x’d ARR last year and raised a $15 million Series A led by Peak XV.
What you will do
- Build and deploy full-stack applications and agentic systems across the stack using Next.js/React, Node.js/NestJS, PostgreSQL, MongoDB, and TypeScript.
- Support and scale AWS infrastructure, deployment strategies, and CI/CD pipelines to handle rapid growth and high-concurrency enterprise demands.
- Integrate and optimize LLM APIs and agent frameworks to transform how sales organizations operate and change the structure of customer revenue teams.
Who this is a fit for
- Possesses deep full-stack capability within a modern TypeScript environment and has a proven track record of shipping production-grade code to enterprise users.
- Brings previous early-stage startup experience or a founder’s mentality, having built something from zero or deliberately chosen high-growth, high-stakes environments.
- Demonstrates practical experience building with AI/LLM APIs and agent frameworks, moving beyond theoretical knowledge to deliver functional, value-driving product features.
Why this role is remarkable
- Join a high-growth YC S23 startup that recently closed a $15 million Series A, 5x’d its ARR in the last year, and is growing 20% month-over-month.
- Work in a purely engineer-driven culture where the founders are developers and the team consists of former founders who prioritize technical excellence and rapid shipping.
- Experience massive impact where your code is demoed to 20,000 sales reps or serves as the primary reason a customer signs an $800k contract.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Hyperbound wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.