Product Quality Engineer — AI-First SaaS Location: Remote — Canada, Mexico, Colombia, Argentina, Brazil, Chile (significant overlap with Montreal / Eastern Time hours required) Type: Full-time, mid-level Reports to: Engineering (Head of Engineering / Eng lead) Company: Pricepoint About Pricepoint Pricepoint is a fast-growing Montreal AI company building revenue management software for hotels, hostels, and accommodation businesses worldwide. Our platform helps properties optimize pricing in real time, lift revenue performance, and cut manual work. We're 50+ people serving hundreds of customers globally, and we value ownership, trust, direct communication, high standards, and practical execution. About the Role We're looking for a Product Quality Engineer to make sure Pricepoint releases are reliable, tested, and safe for hotel customers before they reach production. This is not a traditional manual QA role, and it's not a production engineering role — you won't own product architecture or production code. But you'll be technical enough to work with AI tools, browser dev tools, logs, APIs, and test automation to validate quality before release. Your job is to catch problems early and confirm that what we decided to ship actually works — not to judge whether a feature is well-designed or easy to use. What You'll Own Pre-release quality checks across Pricepoint's key workflows: onboarding, setup, pricing recommendations, manual overrides, restrictions, reporting, user permissions, integrations, and AI explanations. Hands-on testing of the product end-to-end — working through real workflows the way a hotelier actually would, to find what breaks before customers do. This sits alongside automated coverage, not behind it. Test plans for new features, built from requirements, designs, tickets, and real customer scenarios — using AI to accelerate case and test-data generation. Automated smoke tests and regression coverage for the workflows that matter most, written and maintained in tools like Playwright or Cypress. Clear, reproducible bug reports: steps, expected vs. actual, screenshots, logs, severity, and customer impact. Release-readiness checklists, plus escalating quality risks before they reach customers. Spotting repeated quality patterns across bugs, support tickets, and feedback — and flagging them, plus turning them into better tests and clearer requirements. What This Role Is Not You are not the only line of defense. Engineers still own testing their own code; this role raises the quality bar and catches what slips through, rather than relieving Engineering of that responsibility. The goal is to multiply the team's quality, not become a bottleneck or a single point of blame. You also don't evaluate usability or product decisions. You verify that what we decided to ship works as intended — a broken or missing error state is a defect you catch; whether a feature is the right design, or easy enough to use, is Product's call, not yours. Who You Are You're a mid-level quality engineer who tests hands-on — working through real scenarios like a user and thinking in risks, edge cases, and customer impact. That's deliberate, structured exploration, not aimless clicking. You're precise and careful, and you can already do the technical core of the job: read APIs and logs, use browser dev tools, inspect data (basic SQL a plus), and write and maintain test automation. You don't need revenue management or hotel-pricing expertise — this is a developer / computer-science / testing profile. You'll learn how the product's features work and how data flows through them, but the domain judgment (is this the right price?) stays with the Science and product teams. You're also AI-native: you use AI tools daily to generate cases, create test data, analyze logs, draft reports, and automate repetitive work. We treat that fluency as a force multiplier on top of solid testing judgment — not a substitute for it.

What You Brin gMust hav eA computer-science background or equivalent hands-on technical experience .Roughly 2–4 years in a QA, SDET, or test-automation role on a web/SaaS product .Proven experience writing and maintaining automated tests (Playwright or Cypress; Selenium fine if you're ready to switch) .Comfort with REST APIs and API testing (Postman, Newman, or Insomnia) .Fluency with logs and browser dev tools, plus basic SQL for inspecting data .A strong functional and exploratory testing instinct — you design scenarios from requirements and think in edge cases, not happy paths .Clear written communication, especially in bug reports .Daily use of AI tools in your workflow .Nice to hav eExperience running tests in CI/CD pipelines (e.g. GitHub Actions) .Exposure to testing AI/ML-driven or data-heavy product features .B2B SaaS product experience .Not require dRevenue management, pricing, or hotel-industry expertise .Production software engineering or architecture ownership .Senior QA leadership experience .Useful Tool sAI: Claude, Claude Code, Cursor, ChatGPT, Codex, Claude Desktop or similar .Automation: Playwright, Cypress, Selenium, or similar .API testing: Postman, Newman, Insomnia, or similar .Debugging: browser dev tools, logs, screen recordings, test environments, basic SQL / data inspection

. How You'll Work With the Te amYou'll partner with Engineering to reproduce bugs, validate fixes, and assess release readiness; with Product Experience to confirm user flows and error/empty states behave as intended (whether they're well-designed is their call, not yours); with the Science team to confirm that pricing recommendations, AI outputs, and model results render and flow through the product correctly, and to flag anything that looks broken — judging whether a recommendation is the right number is their call, not yours; and with Product Operations, Customer Success, and Implementation to ground your testing in real customer scenarios and confirm fixes solve real problem

s. What Success Looks L ikeFewer obvious bugs reach custome rs.Critical workflows are covered by repeatable, automated tes ts.Bugs are faster for Engineering to reproduce and f ix.Releases are calmer because quality risk is visible before laun ch.The product feels more reliable and trustworthy to hotel use

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....Ingénieur qualité produit — SaaS AI- firstLieu : Télétravail — Canada, Mexique, Colombie, Argentine, Brésil, ChiliHoraire : chevauchement important avec Montréal / heure de l’Est r equisType : Temps plein, niveau interméd iaireRattachement : Équipe Engine eringÀ propos de Price pointPricepoint est une entreprise montréalaise en forte croissance qui développe un logiciel de revenue management alimenté par l’IA pour hôtels, hostels et autres hébergements. Notre plateforme aide les établissements à optimiser leurs prix en temps réel, augmenter leurs revenus et réduire le travail manuel. Nous sommes une équipe de plus de 50 personnes, avec des centaines de clients dans le m onde.Le rôleNous cherchons un Ingénieur qualité produit pour s’assurer que les nouvelles versions de Pricepoint sont fiables, testées et prêtes avant leur mise en produc tion.Ce n’est pas un rôle de QA manuel traditionnel, ni un rôle d’ingénierie produit. Vous ne serez pas responsable de l’architecture ou du code de production. Vous serez toutefois assez technique pour utiliser des outils IA, les dev tools du navigateur, les logs, les APIs et l’automatisation de tests afin de détecter les problèmes avant les cli ents.Votre mission : vérifier que ce que nous avons décidé de livrer fonctionne comme p révu.Responsabi litésTester les workflows clés avant release : onboarding, configuration, recommandations de prix, overrides, restrictions, reporting, permissions, intégrations et explication s IA.Exécuter des tests end-to-end comme le ferait un vrai utilisateur hôte lier.Construire des plans de test à partir des requirements, designs, tickets et scénarios cli ents.Utiliser l’IA pour accélérer la génération de cas de test, données de test, analyses de logs et rapp orts.Créer et maintenir des smoke tests et tests de régression avec Playwright, Cypress ou outils simila ires.Rédiger des bugs clairs et reproductibles : étapes, résultat attendu, résultat obtenu, captures, logs, sévérité et impact cl ient.Maintenir des checklists de release readiness et escalader les risques qualité avant lance ment.Identifier les problèmes récurrents dans les bugs, tickets support et retours clients, puis les transformer en meilleurs t ests.Ce que ce rôle n’es t pasVous n’êtes pas la seule ligne de défense qualité : les ingénieurs restent responsables de tester leur propre code. Votre rôle est d’élever le niveau de qualité, pas de devenir un goulot d’étrangle ment.Vous ne jugez pas non plus les décisions produit ou l’UX. Vous vérifiez que ce qui a été décidé fonctionne correctement. Par exemple, un état d’erreur cassé est un bug à détecter; décider si le design est le bon revient à l’équipe Pro duit.Profil rech erchéVous êtes un profil QA / SDET / test automation de niveau intermédiaire, avec une approche structurée, précise et orientée risque client. Vous aimez tester concrètement, explorer les cas limites et comprendre comment le produit foncti onne.Vous êtes à l’aise a vec :les APIs REST et les outils comme Postman, Newman ou Inso mnia;les logs, browser dev tools et environnements de test;les bases de données ou le SQL de base;l’automatisation de tests avec Playwright, Cypress ou Sele nium;l’utilisation quotidienne d’outils IA comme ChatGPT, Claude, Cursor, Codex ou simila ires.Exig encesFormation en informatique ou expérience technique équival ente.Environ 2 à 4 ans d’expérience en QA, SDET ou test automation sur un produit web / SaaS.Expérience concrète en automatisation de t ests.Bonne capacité à écrire des rapports de bugs cl airs.Bon jugement fonctionnel et capacité à penser au-delà du happy path.Utilisation quotidienne de l’IA dans le tra

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