Founding Full-Stack/Product Engineer in SF

Reposted 17 Days Ago
San Francisco, CA
In-Office
Entry level
Artificial Intelligence • Information Technology • Sales • Software
The Role
Join a high-growth sales performance tech startup as a foundational full-stack/product engineer, responsible for developing applications, integrating ML workflows, and ensuring performance and scalability.
Summary Generated by Built In
We're probably not the right fit for you.

We're in-person, 5 days a week. We move fast and expect a lot. You'll ship something the night before a customer demos it in front of 20,000 sales reps at their SKO. You'll watch a feature you built be the reason a customer signs an $800K contract. That kind of thing either sounds like your dream or your nightmare.
If it's the former, that's the job. If you'd rather have more structure and a clearer lane, this probably isn't it.
Still here? Good.

What we're building

Hyperbound is the Revenue Activation Platform; An agentic OS for sales that closes the loop between behavior, coaching, and execution. Not a tool that watches what happened. A system that changes what happens next and literally changes the structure of our customer sales orgs in the process.

IBM, LinkedIn, Bloomberg, Supabase, Monday.com, Notion, and Vanta are just a few of our customers. They renew. They expand. We just 5xed in ARR the last year and are growing nearly 20% month over month. We just raised a $15M Series A, and had a $1M new ARR week to end the last quarter. 50% of everything we've ever shipped as a company happened in the last three months.

The role

Key Responsibilities:

  • Build and deploy applications across frontend and backend using Next.js/React, Node.js/NestJS REST APIs, PostgreSQL, MongoDB, and TypeScript

  • Support AWS infrastructure, deployment strategies, and CI/CD pipelines.

The team

My cofounder and I are both engineers. This is an engineer-driven company, and that shapes everything, how we prioritize, how we debate, what we respect.

The people we've hired are a little crazy. Ex-YC founders who wanted to build again. A founder who competed against us, decided we were doing it better, and joined. Engineers who walked away from comfortable jobs because they had something to prove. Whether it was to themselves, to someone else, or sometimes both, I see it every day. These people genuinely inspire myself and Sriharsha ever day, and they run like hell.

After our Series A, we took the whole team to Bali. We work hard and we celebrate properly.

And finally actual Ownership

You deploy your own code. When something breaks, you fix the thing that caused it. When you see an architectural problem, you own the fix end to end. We don't have a lot of process protecting you from responsibility OR impact. If I had to some what makes a Hypernaut, this would be it in one word.

The equity reflects that. We believe in making early employees meaningfully wealthy, and there are real secondary opportunities as we grow.

— Atul and Sriharsha

About the interview

We’re fast, sometimes as fast as 4 days end to end.

  1. A introductory chat with Atul (Co-Founder/CTO)

  2. Some coding puzzles and architecture questions with Luca (Head of Engineering)

  3. 1 day, in person, paid work trial where you’ll get to meet our awesome and insane engineering + product team.

Top Skills

AWS
MongoDB
Nestjs
Next.Js
Node.js
Postgres
Python
React
Tailwindcss
Typescript
Am I A Good Fit?
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The Company
HQ: San Francisco, CA
43 Employees
Year Founded: 2023

What We Do

Hyperbound AI analyzes thousands of your sales calls, uncovers why your top reps win, and builds AI roleplays to help you quickly evolve and reinforce your playbooks as you scale. We pioneered AI Sales Roleplay technology and we're transforming the way mid-market/enterprise revenue teams upskill and prepare their workforce.

We provide human-like roleplays across the entire sales cycle with AI buyers customized for your ICP, giving reps more at-bats and leveling up their business acumen.

From cold calling to discovery, negotiation, and renewal/upsell/cross-sell scenarios, you can replicate real buyer scenarios, and help your team close more deals.

The goal is faster ramp times, more pipeline, higher win rates, increased ACVs, more consistent performance across your team, and more time for your managers.

Interested in trying it out today? Start a free demo simulation at hyperbound.ai and contact us at [email protected] for next steps.

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