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Open nowPosted 401 days ago

Founding Full-Stack Engineer

hypesonic1 open role

Pay
$140,000 – $250,000 a yearly
Where
San Francisco, CA
Work mode
On site
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Your applicationOpen nowFounding Full-Stack Engineerhypesonic · San Francisco, CA
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Share of postings closed within
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  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 401 days ago

The posting

Founding Full Stack Engineer × Quander / Hypesonic

San Francisco – On-Site

About Quander

Quander is building the AI company that builds thousands of inventions and companies. We develop AI systems that discover, grow, and scale new ventures, automating the process of invention itself.

There are 3 core phases:

1) Hypesonic: scale products and inventions autonomously

2) AI Invention Opportunity Agent: To find market opportunities 3)

AI Technology Orchestrator: to work with engineers, designers, manufacturers to build.

Our first product is Hypesonic, the AI Growth Engineer. Hypesonic is an autonomous system that designs and scales growth strategies for any product—analyzing markets, learning cultural signals, creating adaptive content, and optimizing performance across channels in real time.

Our mission is to accelerate the arc of human progress—and make the best inventions in the world, from anywhere, win.

We’ve raised a $3M seed round from a Tier 1 VC fund (Accel Partners) with additional offers from Greylock, Sequoia, General Catalyst, and Bain Capital Ventures. Our team is Stanford alum, ex-Neuralink, ex-IBM, ex-Good American and more. We have paying customers already using the platform to grow faster and smarter. You’ll be joining at the earliest stage to scale a proven foundation.

What You’ll Do

Build the System Where AI Growth Agents Live Design, develop, and deploy the full-stack infrastructure that powers autonomous agents across the growth stack—from market analysis to content creation and scaling.

Architect the Agent Operating System Create the backend systems that allow multiple AI agents to collaborate, execute reliably, and scale across products. You’ll design orchestration layers, event-driven workflows, and data pipelines for continuous learning.

Engineer the Growth Engine Develop front-end and generative systems that enable agents to perform creative and analytical tasks: ad generation, market research, video production, and campaign optimization.

Ship Foundational Products You’ll own features end-to-end—from 0→1—launching the first tools that power Hypesonic’s autonomous growth engine and directly impact customers and internal invention teams.

Shape the Technical Vision Work directly with the founders to make architectural decisions, define the roadmap, and build a culture of engineering and AI excellence from day one.

What We’re Looking For

  • 3–5+ years of experience building full-stack products from scratch. You thrive on greenfield problems and scaling ambitious systems.
  • Deep proficiency with Next.js, React, Node.js, TypeScript, Python, and PostgreSQL.
  • Strong foundation in systems design, backend architecture, and API development.
  • Curiosity or experience in AI-driven systems, LLMs, multi-agent workflows, or platforms that automate human tasks.
  • Excitement about working with the latest foundation and reasoning models to power intelligent agents.
  • Passion for building tools that change how humans and AI collaborate to invent, create, and grow.
  • Bias for action. You move fast, build fast, and iterate fast.
  • Desire to be part of something that compounds—where every system you build helps build the next.

Why Quander

At Quander, you won’t just be building another app—you’ll be building the infrastructure for invention itself. Your work on Hypesonic will power thousands of new companies and millions of new ideas. You’ll be working directly with the latest multimodal foundation models, multi-agent systems and backed by the best Silicon Valley investors.

We’re creating a new kind of company—a compound human progress creator, powered by intelligence.

📍 San Francisco – On-Site (Founding Role) → Build the system that builds everything.

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