Lead QA Engineer, Automation

Join ABC Fitness and become part of a culture that’s as ambitious as it is authentic. Let’s transform the future of fitness—together!

We believe great work begins with great people. That’s why our culture is built on respect, trust, and belonging. We create an inclusive environment where every team member can bring their authentic self to work—because diverse perspectives drive innovation and meaningful impact.

We are doers, thinkers, and dreamers. At ABC Fitness, your growth is our investment. Through continuous learning, mentorship, and professional development opportunities, we empower you to reach new heights—personally and professionally.

From day one, you’ll be part of a team that collaborates, celebrates, and cares. We move fast, support one another, and have fun along the way. Because when you thrive, we all thrive.

As our Lead QA Engineer (SDET / QA Automation), you'll build comprehensive, scalable technology and software designed to manage and grow fitness businesses of all sizes. We are looking for a visionary quality engineering technical leader to design and implement advanced test automation frameworks, embed artificial intelligence throughout the QA lifecycle, drive UI visual regression testing capabilities, champion DORA metrics adoption, and elevate overall release confidence — all while growing and mentoring the QA practice through standards, tooling, and cross-functional partnership.

You will lead through test strategy, automation architecture, AI-augmented quality practices, quality standards, mentoring, and cross-functional partnership — not through people management.

If that vision excites you, this is where it gets built. You will spend your days on the test automation and quality systems that protect fitness experiences for millions, in an environment where AI agents are part of how you think, build, test, and review. Every framework you build, every AI-assisted insight you surface, and every standard you set helps prove that AI-native engineering is not a side project here — it is how we build.

• Be an active participant and lead day-to-day Scrum activities of the team as needed, including planning, daily standups, reviews, and retrospectives.

• Review and evaluate business requirements in the form of user stories; lead work breakdown and estimation of tasks based on requirements; provide alternative solutions and negotiate with Product Management.

• Own small to mid-sized engineering/QA projects or product areas.

• Lead technical projects; define and oversee test automation and quality delivery for your squad.

• Review teammates' work to ensure quality and adherence to system architecture and best practices; identify where new designs will require architectural or testability changes.

• Troubleshoot and reproduce customer-found issues in a timely manner.

• May supervise the work of QA vendor resources.

• Lead the integration of AI and Generative AI (Gen AI) tooling into the QA process, including AI-assisted test generation, intelligent defect triage, and predictive quality analysis.

• Apply hands-on experience with Gen AI platforms (e.g., Git Hub Copilot, ChatGPT, Claude, or similar) to accelerate test case creation, test data generation, and documentation.

• Evaluate, adopt, and champion AI-native QA tools and agentic IDE development practices, including agent-based QA tooling and intelligent test maintenance.

• Partner with engineering and product teams to identify opportunities where AI can reduce manual testing burden and increase test coverage and precision.

• Stay current on advancements in AI/ML as applied to software quality and advocate for their adoption within the QA practice.

• Architect and implement UI visual regression testing capabilities to detect unintended visual changes across application releases and platform updates.

• Select, configure, and maintain visual comparison tooling (e.g., Applitools, Percy, Playwright visual comparisons, or similar) integrated into CI/CD pipelines.

• Define baseline management standards,…