Full Stack Software Engineer

Responsibilities

• Technology you’ll be working with. GraphRAG, Context graph, Sub agents architectures, Voice AI, Duplex models, MCP, Multimedia processing, durable execution
• Make a bet that changes the roadmap.
• Bring an idea, build the proof, and convince us. Your next experiment could become a core part of Hyperbound.
• Build the engineering team you’ve always wanted to join.
• Shape how we ship, how we use AI, and what we expect from each other. High trust, direct feedback, and the freedom to do the best work of your career.
• Build AI that drives real outcomes.
• You’ll help create agents that can reason through real sales workflows, recommend the right actions, and collaborate with humans when necessary, directly helping customers book more meetings and win more deals.
• Go from “what if?” to production.
• Own the whole thing: spec, build, launch.
• Get dangerously close to the customer.
• Join calls, watch people use what you built, and solve their problems

Requirements

• in React, Node.js, TypeScript environments. You’ve shipped production features across the frontend, backend, and database—and owned what happens after launch.
• Fluency with AI-assisted design and development.
• An instinct for building AI-native products.
• Comfort with ambiguity and ownership.
• You can turn an open-ended problem into a clear approach, make thoughtful tradeoffs, and carry it through to a working product without needing a detailed spec.
• You know how to scope a useful first version, get it into customers’ hands, and improve it based on feedback.
• Strong technical foundations, developed through a bachelor’s or master’s degree in Computer Science or a related field, or equivalent coursework and practical experience.

What You’ll Need

3+ years of full-stack engineering experience

• You use AI tools to prototype, build, and debug faster, with the judgment to evaluate their output and take responsibility for the code you ship.
• You see where AI can meaningfully improve a workflow and think through how the experience should handle uncertainty, latency, and mistakes.
• A bias toward shipping and learning.

Compensation and benefits

• Salary: $200,000 to $225,000, based on experience.
• Equity: .15%-.3% Series A options
• Health: Medical, dental, and vision coverage

PTO: Unlimited

Office: In-office in San Francisco 5 days a week, with daily lunches, plus commuter and parking benefits

The interview process

Intro call with James, Founding Recruiter

Tech interviews with the Eng Team

• Behavioral interview with Luca, Head of Engineering (15 min)
• Paid, in-person work trial with the engineering and product team (1 day)

References and offer

We move fast, from first conversation to offer in 1 to 2 weeks, and we'll be transparent with you at every stage.

Equal Opportunity

Hyperbound is an equal opportunity employer. We welcome applicants of all backgrounds, identities, and experiences. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need accommodations during the interview process, let us know and we'll make it work.