Senior Engineering Manager – QA & Standards

🕒 April 23

🇺🇸 United States – Remote

💵 $160k - $201k / year

⏰ Full Time

🟠 Senior

🔧 QA Engineer (Quality Assurance)

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insightsoftware

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

💸 Finance

🏢 Enterprise

💰 $798.6M Private Equity Round - insightsoftware on 2021-07

SaaS • Finance • Enterprise

insightsoftware is a provider of financial and operational reporting software and data analytics solutions for the Office of the CFO. Its cloud-enabled platform and pre-built connectors integrate with major ERPs (Oracle, SAP, Microsoft and 140+ others) to deliver financial reporting, budgeting/planning, consolidation, tax and lease lifecycle management, embedded analytics, and automation tools. The company serves finance, accounting, and operations teams with AI-enabled features, data virtualization, and turnkey templates to accelerate reporting, planning, and compliance.

📋 Description

• Own quality outcomes across all CEM delivery verticals • Establish and enforce test plan and test case standards organization-wide • Define and own release quality gates • Communicate quality status clearly and fluently • Identify systemic quality risks, coverage gaps, and process breakdowns early • Champion AI-authored PR targets and AI code review adoption • Drive adoption of AI tooling for test plans, test cases, and scenarios • Manage the QA & Standards organization • Partner with the Automation Lead to assess current automation platforms • Own hiring, onboarding, performance management, and career development • Lead the QA organization through meaningful transformation • Own the Performance Engineering team • Integrate performance testing into engineering definition of done

🎯 Requirements

• 8+ years of software engineering and QA experience in enterprise SaaS environments • 3+ years in engineering management leading QA organizations of 10+ engineers across multiple teams or verticals • Demonstrated experience leading a QA organization through significant transformation • Deep expertise in test plan and test case methodology • Automation-first mindset with hands-on experience assessing, stabilizing, or rebuilding automation platforms • Demonstrated AI/ML background as it applies to QA • Strong delivery ownership mindset • Fluent communicator • Experience managing distributed, global QA teams across multiple time zones • Bachelor's degree in Computer Science, Engineering, or equivalent work experience

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities • Bonuses