AI-Driven QA Engineer for End-to-End Platform Quality

VC Lab

United States

On-site

USD 90,000 - 130,000

Full time

16 hours ago
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Job summary

Decile Group is seeking a QA Engineer to own quality across Decile Hub and Start Fund. You will design and implement an agentic QA system with AI-powered tests, explore product flows, and ensure issues are caught before customers encounter them.

The ideal candidate will have hands-on experience with AI agents, web test automation, and a strong emphasis on reproducible bug reports. Collaboration with engineering, product, and customer success is essential to maintain high-quality releases.

Qualifications

  • 5+ years in QA, test engineering, or a related role on a SaaS product.
  • Hands-on experience building with AI agents and automation tools.
  • A track record of catching issues before release, not just logging them after.
  • Experience with test automation for web applications.
  • Strong organization: test plans, bug tracking, and release checklists that others can follow.
  • Clear written communication. Bug reports should reproduce the issue.

Responsibilities

  • Anticipate issues before release by studying each feature, user flows, and potential edges.
  • Build and maintain an agentic QA system with AI agents that run regression tests and explore features.
  • Learn how users (fund managers, LPs, internal teams) actually use Decile Hub and Start Fund to turn confusion into tests.
  • Own onboarding and login flows to ensure invites, login, verification, and document actions work reliably.
  • Run classic QA with discipline—plan tests, maintain regression suites, triage bugs, and document risk.

Skills

QA Engineer
AI agents
Automation
SaaS testing
Bug tracking

Job description

Decile Group is seeking a QA Engineer to own quality across Decile Hub and Start Fund. You will design and implement an agentic QA system with AI-powered tests, explore product flows, and ensure issues are caught before customers encounter them.

The ideal candidate will have hands-on experience with AI agents, web test automation, and a strong emphasis on reproducible bug reports. Collaboration with engineering, product, and customer success is essential to maintain high-quality releases.

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