QA Engineer IV; AI-Powered
Listed on 2026-07-14
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Software Development
AI QA / Validation Engineer, AI Engineer (Applied/Software), Software Testing
About Planet DDS
Planet DDS is on a mission to fix dental software – replacing clunky, outdated systems with modern, cloud‑based, AI‑powered technology that works m practice management to imaging to revenue cycle automation, we’re tearing down the old infrastructure and rebuilding the future of dentistry. We are the fastest‑growing provider of dental practice management solutions and the #1 cloud platform for DSOs and multi‑location groups.
AI‑PoweredQA Engineer IV (Hybrid – Irvine, CA)
This senior technical leadership role on Team Artemis sets the direction of quality engineering at Planet DDS. The role owns the QA strategy across automated, AI‑assisted, and exploratory testing, and leads the outsourced QA team toward a modern, AI‑native testing model. The ideal candidate is a Level II AI Software Engineer or Software Engineer III who is ready to own quality, leverage Claude Code and AI tooling, and transform testing practices.
Domain knowledge in healthcare or dental software is a strong plus. Success requires a flexible, decisive leader who can set standards, build trust with a distributed team, and drive measurable quality outcomes across a fast‑moving SaaS platform.
- Define and own the QA strategy and roadmap for Team Artemis, setting direction across automated testing, AI‑assisted testing, and quality standards for the department.
- Design, implement, and maintain the automated testing framework for SaaS products.
- Mentor and train other team members on automation, quality practices, and principles.
- Contribute to code reviews, design reviews, effort estimates, task breakdowns, and other team discussions.
- Assess and raise risks across the Planet DDS solution.
- Work with the engineering team to continuously improve the performance, scalability, and reliability of Planet DDS products.
- Collaborate with product and engineering teams to design and deploy new features.
- Learn about the latest tools and patterns consistent with the role.
- Lead, manage, and grow the outsourced QA team within Team Artemis, establishing clear standards, accountability, and a culture of quality across the extended team.
- Architect and implement end‑to‑end test automation solutions using Playwright and Claude Code, covering smoke tests, regression suites, and full E2E workflows across Planet DDS SaaS products.
- Drive adoption of AI‑native testing practices across the engineering organization, including agentic test generation, AI‑assisted defect triage, and Claude Code‑based test automation workflows.
- Serve as the subject matter expert for Claude Code‑based test automation, programming and maintaining AI agents for test execution, coverage analysis, and quality reporting.
- Collaborate across large, distributed engineering teams to ensure comprehensive end‑to‑end coverage of complex SaaS product workflows, from API layer through UI and integrations.
- Other duties as assigned.
- 8–11 years of experience in software engineering, test, and/or QA roles.
- Track record using AI‑powered software testing tools (Applitools, Testim, Mabl, Test Rigor, Test Complete, UI‑TARS, Midscene, Puppeteer); strong hands‑on Playwright experience for browser automation at scale is required.
- Experience in automation testing and building automation frameworks from the ground up.
- Programming experience (ideally JavaScript/Type Script and/or C#).
- Experience with test case management techniques, technologies, and approaches.
- Experience with Jira & Zephyr Scale is beneficial.
- Knowledge of how to characterize different risk scenarios (functional/closed‑box, boundary, verification and validation, acceptance, load, stress, performance, HA/DR).
- Sense of ownership and pride in performance impact.
- Strong collaboration and communication skills.
- Ability to engage throughout the department and the company to achieve goals.
- Hands‑on experience with Claude Code or Anthropic AI APIs, including writing prompts, custom agents, or agentic workflows for engineering or testing use cases.
- Demonstrated ability to lead or technically influence a QA or engineering team, including offshore or outsourced teams; flexible, clear‑communicating, and decisive under ambiguity.
- Exp…
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