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Hyperbound

Senior Full-Stack/Product Engineer in SF

Hyperbound, San Francisco, California, United States, 94199

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Senior Full-Stack/Product Engineer in SF

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Senior Full-Stack/Product Engineer in SF

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Hyperbound

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This range is provided by Hyperbound. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range $190,000.00/yr - $225,000.00/yr

We’re looking for a

hungry, world‑class full‑stack engineer

to join us

in‑person, 5 days/week

at our San Francisco HQ in South Park.

Hyperbound (YC S23) is building the

Sales Performance OS , a new category of sales‑tech that gives enterprise sales orgs an unfair advantage by observing, measuring, and scaling top‑performer behaviors. This category is inevitable: within 5 years, every sales org will run on a system like this.

We just raised our

$15M Series A

and closed

$1M+ in new ARR two months in a row . We’re scaling from 15 → 30+ teammates this year, and you’ll be joining right before liftoff. As an early engineer, you’ll have massive ownership over

architecture, performance, and product direction , shaping a platform that will set the standard for the industry.

You’ll work directly with the founders, ship features to enterprise customers like LinkedIn, Bloomberg, Monday.com, Autodesk, Vanta, Tipalti, and G2, and iterate at lightning speed based on real customer feedback. You’ll be shipping from day one—we expect you to hit the ground running.

Our engineering team is already stacked with

ex‑YC founders engineers, ex‑YC founding engineers, and even the former founder of a competitor . We’re the leaders in our space, and now we need another top‑tier engineer to help us scale a category‑defining product to thousands of enterprise users.

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 an early 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.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Software Development

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