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

📌 Application QA Engineer (Mid-Level) (Torreón)
🏢 Prospera AI
📍 Torreón