Application QA Engineer (Mid-Level)

About Prospera AI

We're building Sophie, a multi-agent AI orchestrator that helps wealth management advisors deliver more personalized, effective service to their clients. Our platform analyzes behavioral patterns, communication preferences, and emotional states to transform how advisors understand and serve their clients. We're a small, well-funded team at an exciting inflection point — our technology works, customers love the product, and now we're building the engineering team to scale.

The Role

We're looking for an Application QA Engineer to own quality across Sophie's advisor-facing product. You'll be our first dedicated QA hire, responsible for building our test automation framework, establishing quality processes, and ensuring that every feature advisors rely on — during live client calls — works flawlessly. This is a hands-on, high-ownership role. You'll define how we test, what we automate, and what "ready to ship" means.

What You'll Do

Own Test Automation

• Build and maintain our E2E test automation framework using Playwright
• Create and expand regression test suites covering critical advisor workflows
• Implement visual regression testing to catch UI inconsistencies across browsers and devices
• Set up component-level testing with React Testing Library + Vitest

Establish Quality Infrastructure

• Integrate automated test suites into CI/CD pipelines (GitHub Actions)
• Set up and maintain error tracking and monitoring (Sentry)
• Build test coverage dashboards for team visibility
• Own the release testing checklist — define what must pass before deployment

Define QA Process

• Create a bug taxonomy and triage process — severity levels, SLAs, reproduction templates
• Manage bug tracking workflows across Linear and Notion
• Define the QA sign-off process — no feature ships without QA approval
• Every confirmed bug gets an automated regression test so it never recurs

Ensure Production Readiness

• Audit the app end-to-end — document every user flow, edge case, and known issue
• Perform cross-browser and cross-device testing
• Establish performance baselines — load times, streaming response rendering
• Build and own the pre-launch quality gate for production release

What We're Looking For

Must Have

• 3+ years of QA experience with at least 2 years in test automation
• Proficiency with Playwright or Cypress — writing tests from scratch
• Comfortable with TypeScript and testing within a React/Next.js codebase
• Experience integrating test suites into CI/CD pipelines
• Strong understanding of API contract testing
• Solid bug documentation skills — clear reproduction steps, severity classification

Great to Have

• Experience with visual regression testing tools (Percy, Chromatic, or Playwright screenshots)
• Component testing experience with React Testing Library
• Familiarity with error tracking platforms (Sentry, Datadog)
• B2B SaaS background, especially professional services or financial contexts
• Experience testing streaming/real-time UI
• Exposure to performance testing or load testing fundamentals

How You Work

• Self-directed and proactive — you find bugs before anyone reports them
• Strong written communication — async-first remote culture requires clarity
• Pragmatic about coverage — you know what to automate and what to test manually
• Collaborative mindset — QA doesn't exist in isolation
• Opinionated about quality — you'll propose tools and processes, not wait to be told

What This Role Is Not

• Not a manual-only QA role — automation is the core of this position
• Not a DevOps role — you'll configure test pipelines, not manage infrastructure
• Not an AI/ML testing role — a separate role handles LLM evaluation
• Not a management role — near-term focus is individual contribution
• Not passive — we need someone who drives quality standards

Compensation & Benefits

BaseCompetitive — Based on experience and location

EquityMeaningful early-stage grant with 4-year vesting

EquipmentTo be decided

Time OffFlexible PTO with minimum 15 days encouraged

LearningAnnual professional development budget

ScheduleFlexible hours with 3–4 hours daily overlap Americas timezones

Interview Process

1

Resume Review— 1–2 day turnaround

2

Technical Screen— 60 min video conversation with CTO

3

Take-Home Assessment— 4–5 hours (automation challenge)

4

Assessment Deep Dive— 75 min collaborative review

5

Values & Fit— 45 min conversation

6

References & Offer

Total timeline: 2–3 weeks