QA Engineer

Deals are messy. Multiple stakeholders, hours of calls, and endless emails. At Hyperbound, we're building the AI Agent that will help sales teams untangle that mess.

Hyperbound is the Revenue Activation Platform: an agentic OS for sales that connects what happens to what should happen next.
We came out of YC S23 and went viral with Voice Agents that reps could call to put their skills to the test. Today, we’re building AI that understands sales conversations, coaches in real time, reasons across deals, and takes action to move them forward.

We are trusted by companies like Linked In, Amazon, Notion, and Vanta. We raised a $15M Series A in October 2025, grew ARR 5× over the past year, and are growing nearly 20% month over month.

We’re former YC founders and founding engineers. We like hard problems, strong opinions, and getting something into customers’ hands while the idea is still fresh.

We work with high trust and real autonomy. You’ll have the context to make decisions, the freedom to choose your approach. We trust you to spot problems, challenge assumptions, and move things forward without waiting for step-by-step direction.

We have each other’s backs. When something goes wrong, we focus on fixing it and learning, not pointing fingers. You’ll have teammates who share what they know, tell you what they think, and jump in to help. We move quickly because we trust each other, give direct feedback, and make decisions together.

We’re optimistic enough to take ambitious swings and willing to change our minds when the evidence comes back. We ship quickly, learn from customers, and keep improving.

You’ll work alongside our Founding QA Engineer to help Hyperbound ship quickly and confidently. We release new features weekly, and you’ll independently own quality for the features and product areas you take on, from writing test plans and running user acceptance testing to building automation and verifying fixes. You’ll partner closely with product, engineering, and Solutions Engineers to catch issues early and improve how we test as we grow.

• Technical depth
  :
  You can investigate, reproduce, and clearly document a bug. You build reliable automated tests and can tell whether a failure points to a product issue or a problem with the test.

• Product judgment
  :
  You think about how customers actually use the product. You look beyond the happy path and prioritize issues based on their impact.

• Ownership
  :
  You take testing from planning through release. When you find a problem, you help drive it to resolution and verify the fix.

• Conviction
  :
  You push back clearly when something isn’t ready to ship. You explain the risk to PMs, engineers, or founders and help the team decide what needs to happen before release.

• Collaboration
  :
  You work closely with our Founding QA Engineer, share what you learn, and help improve our coverage and processes.

• Experience testing AI or LLM products, where outputs can vary and quality isn’t always a simple pass or fail.

• Experience working in an early-stage startup or another environment with rapid product releases.

• Test planning
  :
  Partner with Product and Engineering to understand upcoming features, identify risks and edge cases, and define the right level of coverage before they ship.

• Release testing
  :
  Run functional, exploratory, user acceptance, and regression testing across connected product workflows, and give the team a clear assessment of release readiness and remaining risk.

• Technical investigation
  :
  Dig into unexpected behavior using browser developer tools, APIs, logs, and other technical signals to isolate issues and give engineers actionable findings.

• Automati…