[Remote] Senior Engineering Manager — QA & Standards

Note: The job is a remote job and is open to candidates in USA. insightsoftware is a global provider of reporting, analytics, and performance management solutions that unlock the potential of business data. As Senior Engineering Manager for QA & Standards, you will oversee the quality engineering organization for the Certent Equity Management platform, focusing on manual QA, automation, and performance testing.

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
• For automation engineers: champion ≥50% AI-authored PR targets and ≥95% AI code review adoption as organizational minimums
• For manual QA: drive adoption of AI tooling to generate test plans, test cases, edge cases, positive/negative scenarios, end-to-end scenarios, and test data sets — meaningfully reducing manual effort while expanding coverage
• Serve as the organization's advocate for AI-augmented quality practices; establish AI-first QA as a standard expectation, not an optional enhancement
• Stay current on emerging AI tooling relevant to QA — test generation, intelligent triage, anomaly detection — and bring forward-looking recommendations to the Sr Engineering Manager and Sr Director
• Day-to-day management of the QA & Standards organization: Principal QA Leads, QA Engineers, and Equity Specialist QA across all verticals
• Partner with the Automation Lead to assess the current automation platform, align on a forward path, and sequence automation improvements alongside the broader CEM modernization roadmap
• Own hiring, onboarding, performance management, career development, and retention across your teams; partner with the Sr Director on headcount planning
• Run effective team cadences — creating the operational rhythm that drives accountability and continuous improvement across a large, distributed QA workforce
• Foster a high-trust, high-accountability culture that attracts strong QA talent and reflects insightsoftware's core values
• Lead the QA organization through meaningful transformation — elevating test discipline, closing coverage gaps, and building the processes and standards that a growing enterprise SaaS platform requires
• Establish automation-first principles across the QA org; partner with the Automation Lead to stabilize the current automation environment, reduce false-failure noise, and improve triage efficiency
• Define the long-term automation strategy in partnership with the Automation Lead and Scalable Architecture Team — bridging current-state realities with a future-state automation platform as CEM modernizes
• Drive adoption of structured test planning and test case management practices across all scrum teams, embedded QA engineers, and Principal QA Leads
• Own the Performance Engineering team — currently a small, early-stage group — and build it into a mature, well-integrated capability
• Establish load testing and benchmarking baselines for the CEM platform; identify system chokepoints and failure thresholds under real-world user traffic and large-scale data processing workloads
• Define and drive pre-release performance testing standards — ensuring new features are validated against performance criteria before they ship
• Integrate performance testing into engineering definition of done across scrum teams, in partnership with Engineering Managers and QA Leads
• Serve as the primary QA interface across all delivery verticals — owning alignment on quality standards, test coverage expectations, and release readiness criteria
• Represent the QA organization's priorities and health in engineering leadership forums alongside peer Sr Engineering Managers
• Partner with the Sr Engineering Manager and Sr Director on org-wide engineering standards, quality investment sequencing, and QA headcount strategy

Skills

• 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
• Experience with Microsoft technology stack — C#, .NET, Azure — and testing patterns specific to enterprise .NET/Oracle SaaS applications
• Background in financial services, equity compensation, or adjacent regulated domains where test rigor and auditability are critical
• Experience defining and owning release quality gates in environments with contractual delivery obligations and enterprise client SLAs
• Familiarity with AI-powered test generation, intelligent triage, or anomaly detection tooling
• Experience partnering with architecture or platform teams to design future-state automation platforms alongside application modernization programs
• Experience building or maturing a performance engineering practice, including load testing, benchmarking, and integration into CI/CD and definition of done workflows

Benefits

• Bonus
• Pay transparency and fair compensation practices

Company Overview

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