Founding Full-Stack/Product Engineer in SF

Posted 2 Days Ago
Be an Early Applicant
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 looking for a hungry, talented, and cracked engineer to join us in-person 5 days/week at our SF office in South Park. We’re creating a new category of sales performance tech, meant to give sales orgs an unfair advantage when it comes to observing and replicating top performer behaviors.

We just raised our series A and closed $1M in NEW ARR last month and are about to grow from 15 → 30+ teammates by the end of the year. You’ll be joining right before a period of rapid scaling. You’ll have massive ownership over architecture, performance, and product direction. If you’re looking for rapid career mobility, Hyperbound is for you.

You’ll work directly with the founders, ship to enterprise customers like LinkedIn, Monday.com, Autodesk, Vanta, Tipalti, and G2, and iterate at lightning speed based on real customer feedback. You’ll be shipping from day 1, we expect you to hit the ground running.
We’re the unquestioned leaders in our space, and we need to continue to scale our incredible engineering team (multiple ex-YC founding engineers, ex YC founders, and more) to keep pace.

Key Responsibilities:

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

  • Implement responsive, dynamic features using Next.js/React, TypeScript, and TailwindCSS

  • Integrate our Python FastAPI server with ML workflows into the main application.

  • Work closely with the team, reviewing code and planning new features.

  • Ensure performance, scalability, and efficiency of the application and database.

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

  • Gather early user feedback and iterate quickly based on insights.

  • Write clear documentation for code, systems, and processes.

Qualifications:

  • Ability to work in-person in San Francisco 5 days a week

  • Hungry to be an early engineer at a high-growth startup and is willing to grind

  • Strong knowledge of TypeScript/JavaScript across the full-stack

  • Some experience with Python (we have a server in Python for executing ML tasks)

  • Proficiency in AWS services and cloud infrastructure management.

  • Ability to work in a fast-paced startup environment and manage multiple projects simultaneously.

  • Is interested in wearing multiple hats and have excellent communication and collaboration skills.

  • Experience in AI, SaaS, or sales-related products is a plus**

What we offer:

  • Opportunity to be a founding member of a high-growth startup with a significant impact on the company’s success (growing 20% month over month)

  • Competitive salary and equity package

  • Ability to learn more than you can ever imagine in a short period of time

***This is not a remote role! 5x/week at our SF office in South Park.

About the interview

Three simple steps. The entire process has been completed in as little as 4 days before.

  1. Phone Screen/Intro to CTO

  2. Tech Screen with Senior Founding Engineer

  3. Two day, paid, in-person work trial

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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