Senior Manager, Global QA Operations

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔧 QA Engineer (Quality Assurance)

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Side

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2019

🛍️ eCommerce

🏪 Marketplace

🛒 Retail

eCommerce • Marketplace • Retail

Side is

📋 Description

• Support global QA operations across multiple sites, regions and client portfolios. • Build strong relationships with QA Managers, QA Project Managers, Site Leaders and operational stakeholders. • Help keep actions, risks, escalations and QA initiatives moving across global teams. • Improve quality reporting, KPI visibility, calibration and performance tracking. • Use QA data to identify trends, recurring issues and opportunities for improvement. • Support client-facing activity, including quality updates, issue resolution, relationship management and business review preparation. • Partner with Sales and Account Management where QA insight is needed to support client confidence and service delivery. • Support launches, transitions, service expansions and operational change from a QA perspective. • Help drive consistency across sites while respecting local ways of working and cultural differences. • Support AI implementation and quality technology initiatives, including reporting tools, automation and AI-enabled QA solutions.

🎯 Requirements

• Strong experience in QA operations, QA delivery, QA programme management or QA leadership. • Experience working across multiple teams, sites, projects, clients or regions. • Experience influencing QA Managers, QA Project Managers, Site Leaders or operational teams without relying only on direct authority. • Strong client management and relationship-building skills, with confidence communicating quality topics to senior stakeholders. • Good judgement under pressure, especially when dealing with escalations, competing priorities or live operational issues. • Strong understanding of QA reporting, KPIs, calibration, root-cause analysis and continuous improvement. • Ability to turn quality data into clear insight and practical action. • Familiarity with AI, automation, reporting tools or quality technology, with an interest in supporting AI-led improvements. • Professional-level written and spoken English. • Comfort working across global time zones, including occasional early or late meetings.