About Prospera AIWe'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 RoleWe'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 DoOwn Test AutomationBuild and maintain our E2E test automation framework using PlaywrightCreate and expand regression test suites covering critical advisor workflowsImplement visual regression testing to catch UI inconsistencies across browsers and devicesSet up component-level testing with React Testing Library + VitestEstablish Quality InfrastructureIntegrate automated test suites into CI/CD pipelines (GitHub Actions)Set up and maintain error tracking and monitoring (Sentry)Build test coverage dashboards for team visibilityOwn the release testing checklist — define what must pass before deploymentDefine QA ProcessCreate a bug taxonomy and triage process — severity levels, SLAs, reproduction templatesManage bug tracking workflows across Linear and NotionDefine the QA sign-off process — no feature ships without QA approvalEvery confirmed bug gets an automated regression test so it never recursEnsure Production ReadinessAudit the app end-to-end — document every user flow, edge case, and known issuePerform cross-browser and cross-device testingEstablish performance baselines — load times, streaming response renderingBuild and own the pre-launch quality gate for production releaseWhat We're Looking ForMust Have3+ years of QA experience with at least 2 years in test automationProficiency with Playwright or Cypress — writing tests from scratchComfortable with TypeScript and testing within a React/Next.Js codebaseExperience integrating test suites into CI/CD pipelinesStrong understanding of API contract testingSolid bug documentation skills — clear reproduction steps, severity classificationGreat to HaveExperience with visual regression testing tools (Percy, Chromatic, or Playwright screenshots)Component testing experience with React Testing LibraryFamiliarity with error tracking platforms (Sentry, Datadog)B2B SaaS background,



especially professional services or financial contextsExperience testing streaming/real-time UIExposure to performance testing or load testing fundamentalsHow You WorkSelf-directed and proactive — you find bugs before anyone reports themStrong written communication — async-first remote culture requires clarityPragmatic about coverage — you know what to automate and what to test manuallyCollaborative mindset — QA doesn't exist in isolationOpinionated about quality — you'll propose tools and processes, not wait to be toldWhat This Role Is NotNot a manual-only QA role — automation is the core of this positionNot a DevOps role — you'll configure test pipelines, not manage infrastructureNot an AI/ML testing role — a separate role handles LLM evaluationNot a management role — near-term focus is individual contributionNot passive — we need someone who drives quality standardsCompensation & BenefitsBaseCompetitive — Based on experience and locationEquityMeaningful early-stage grant with 4-year vestingEquipmentTo be decidedTime OffFlexible PTO with minimum 15 days encouragedLearningAnnual professional development budgetScheduleFlexible hours with 3–4 hours daily overlap Americas timezonesInterview ProcessResume Review— 1–2 day turnaroundTechnical Screen— 60 min video conversation with CTOTake-Home Assessment— 4–5 hours (automation challenge)Assessment Deep Dive— 75 min collaborative reviewValues & Fit— 45 min conversationReferences & OfferTotal timeline: 2–3 weeks#J-*****-Ljbffr

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