Jobs · Quality Assurance

Senior Engineering Manager — QA & Standards

insightsoftware · United States · 2 wk ago
RemoteRemoteQuality AssuranceFull-time

Responsibilities

  • Own quality outcomes across all CEM delivery verticals — through direct reports and Principal QA Leads matrixed into scrum teams.
  • Establish and enforce test plan and test case standards organization-wide; hold teams accountable to consistent, rigorous quality practices regardless of vertical or geography.
  • Define and own release quality gates — partnering with Engineering Managers and Release Management on go/no-go criteria, defect triage, and customer-impacting issue escalation.
  • Communicate quality status clearly and fluently — accountable up to the Sr Engineering Manager and Sr Director, and across to Application, Platform, and Reporting/BI vertical leaders — with accurate, actionable narratives.
  • Identify systemic quality risks, coverage gaps, and process breakdowns early; drive resolution through direct ownership or escalation.
  • Drive the organization's QA-focused AI strategy — accelerating adoption of AI tooling across both automation and manual QA practices to expand test coverage, reduce cycle time, and improve engineering quality outcomes across the org.

Qualifications

  • 8+ years of software engineering and QA experience in enterprise SaaS environments, with 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 — elevating standards, closing structural gaps, and building a quality-first culture in an environment that needed it.
  • Deep expertise in test plan and test case methodology — able to define, enforce, and continuously improve structured testing standards across a large, distributed engineering org.
  • Automation-first mindset with hands-on experience assessing, stabilizing, or rebuilding automation platforms in complex legacy environments.
  • Demonstrated AI/ML background as it applies to QA — experience driving adoption of AI tooling for test generation, coverage expansion, and quality acceleration across both automation and manual QA workflows.
  • Strong delivery ownership mindset: experience setting clear accountability structures, managing distributed QA teams, and driving quality outcomes in high-complexity, high-client-impact environments.
  • Fluent communicator — able to translate QA health, risk, and coverage gaps into crisp narratives for senior engineering and executive audiences.
  • Experience managing distributed, global QA teams across multiple time zones.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience.

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