We are looking for an experienced Platform QA Manager to lead quality engineering for our enterprise SaaS platform. You will lead a team of Quality Engineers and partner closely with Engineering, Product, Solution Architect, and other teams to ensure high-quality platform releases and reliable end-to-end customer workflows.
What You’ll Do
Lead and develop a team of Quality Engineers/SDETs.
Own release quality, test strategy, execution, and sign-off.
Drive end-to-end testing across business workflows, personas, products
Analyze customer workflows, configurations, and feature usage to identify critical end-to-end processes.
Build and evolve scalable UI and regression automation & automate critical business paths
Improve test coverage using customer scenarios, production learnings, defects, and usage patterns.
Lead defect analysis and ensure significant failures result in improved regression coverage.
Partner with Engineering and Product teams to identify quality and architecture risks early in the development lifecycle.
Establish and track quality metrics including defect detection, production/UAT escapes, automation coverage, regression effectiveness, and test reliability.
Drive continuous improvement in QE processes, tools, frameworks, and engineering practices.
What We’re Looking For
10+ years of experience in Quality Engineering, SDET, or related roles, with 3+ years in a people-management role.
Experience with automation technologies such as Playwright, Selenium, Cypress, REST Assured, or equivalent.
Strong debugging, root-cause analysis, and problem-solving skills.
Proven ability to work across Engineering, Product, Architecture, and customer-facing teams.
Experience with AI-assisted testing or modern AI-based quality tools is a plus.
Experience working with customer workflows, business use cases, and HR technology is a plus.
Why join this team
This role offers the opportunity to shape how quality is delivered across a complex, high-impact platform. You will help Phenom move from testing features and projects independently to building a shared, intelligent quality system that learns from every customer journey, release, defect, and integration.
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