Principal Quality Engineer (AI)

Location: Remote; listed locations are São Paulo, Belo Horizonte, Rio de Janeiro, Curitiba, and Florianópolis, Brazil.

Base salary: $80,000–$100,000 USD annually.

Company

On-demand marketplace for lawn care and related home services, expanding toward a one-stop shop for home services.

What you will do

• Own and evolve the company-wide quality engineering roadmap and accountability framework for engineers, engineering managers, and product managers.
• Define test strategies across unit, component, contract, API, end-to-end, mobile, performance, load, accessibility, and other non-functional testing.
• Develop AI-native quality tooling, including AI agents and Claude Code-style or MCP-based workflows for test generation, code review, and quality guidance.
• Own CI/CD quality gates, E2E and visual regression pipelines, performance budgets, and mobile automation across emulators and real-device clouds.
• Connect monitoring with incident response and build production-quality dashboards that engineering teams use.
• Mentor QA engineers across squads, run enablement sessions, and provide technical input to their engineering managers.

Requirements

• Hands-on experience using AI to generate tests and setting up agentic tooling such as Claude Code or MCP-based workflows for on-demand test generation or code review.
• Ability to design testing approaches suited to a team’s maturity and context rather than imposing a fixed framework or coverage target.
• Hands-on experience building and maintaining component, contract, API, end-to-end, and performance test suites.
• Ability to build CI pipelines and quality tooling personally, troubleshoot pipeline blockers, and support teams in shipping.
• Experience coaching engineers on testing practices and running enablement sessions.
• Ability to lead technical direction and influence QA engineers across squads without owning their day-to-day management or career paths initially.

Nice to have

• Experience hiring, coaching, and managing performance for a QA or engineering team.
• Readiness to take on direct management of the QA squad as it grows.

Culture & Benefits

• Fully remote work with deep-focus analytical work and collaboration with US-facing partners.
• Hiring is open across cities, with autonomy to manage the work environment and overlap hours.
• Flexible PTO measured on outcomes rather than hours logged.
• Direct sponsorship from the Head of Engineering and the opportunity to advance AI-native quality tooling.