QA Automation Manager

About the role

The QA Automation Manager owns software quality outcomes across PartsSource’s critical product portfolio, including our Salesforce platform. This is a senior people-management role that combines deep technical expertise in automation architecture with proven team-building experience and a track record of leading organizations from manual testing to automation-first practices. You will directly manage and grow a team of automation engineers, lead offshore automation resources across time zones, and partner closely with Engineering, Product, and DevOps to embed quality at every stage of the delivery lifecycle.

Responsibilities

• Directly manage, hire, develop, and retain a team of automation engineers; own performance reviews, coaching, and career development within the QA function.
• Lead and coordinate offshore automation teams across multiple time zones, maintaining delivery accountability and team cohesion.
• Set clear performance expectations, build a culture of quality ownership, and develop automation engineers in best practices and technical rigor.
• Define and execute the strategy and roadmap for transitioning QA operations from predominantly manual testing to a mature, automation-first practice.
• Establish the frameworks, upskilling plans, and success metrics to drive and sustain 100% automation coverage across the product lifecycle.
• Serve as the organizational change agent for quality — influencing engineering and product culture, not just technical tooling.
• Design and validate scalable, maintainable test automation architectures using Playwright and/or Selenium; own framework decisions from design through production.
• Lead automation coverage across web, API (REST/GraphQL), mobile (Appium, Espresso, XCUITest), and Salesforce platforms — including Lightning UI, custom components, flows, and Salesforce APIs.
• Integrate automation pipelines with CI/CD tooling and cloud-based testing platforms (BrowserStack, Sauce Labs, or equivalent) for consistent, scalable execution.
• Apply AI-assisted development tools (GitHub Copilot, Claude, ChatGPT, or equivalent) to accelerate test code generation and improve automation ROI.
• Manage delivery timelines and communicate program health, risks, and quality metrics to technical, business, and executive stakeholders.
• Establish and enforce test management practices using enterprise tools (TestRail, Xray for Jira, PractiTest, or equivalent); validate artifact quality before every deployment.
• Own test infrastructure provisioning within containerized environments (Docker, Kubernetes); troubleshoot complex test failures and performance issues across distributed platforms.
• Drive continuous improvement in test coverage, execution speed, and automation ROI; report progress against transformation goals to engineering and product leadership.

Requirements

• 5+ years of direct people-management experience, including hiring, performance reviews, coaching, and career development of QA and automation engineers.
• Demonstrated track record of leading a manual-to-automation transformation — defining the strategy, roadmap, frameworks, upskilling plan, and metrics to get there.
• Expert-level proficiency with Playwright and/or Selenium (5+ years); proven ability to architect and scale production-grade automation frameworks.
• Hands-on experience automating Salesforce applications — including Lightning UI, custom components, flows, and Salesforce APIs — using tools such as Provar, Copado, Selenium, or Playwright.
• Expertise in API testing (REST/GraphQL) and mobile automation (Appium, Espresso, XCUITest) across multiple platforms and device configurations.
• Hands-on experience building CI/CD pipelines for automated test execution and reporting at scale; familiarity with Docker and Kubernetes for containerized test environments.
• Demonstrated use of AI-assisted tools to accelerate test development and improve team productivity.
• Strong communication skills — comfortable presenting to technical, business, and C-level audiences.

Preferred Experience

• With load and performance testing tools (JMeter, k6, Gatling, LoadRunner, or equivalent).
• Background in Agile/Scrum environments and sprint-level QA planning.
• Advanced knowledge of test data management strategies.