
1001 - 5000 employees
âď¸ SaaS
đ¸ Finance
đ˘ Enterprise
đ° $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.
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1001 - 5000 employees
âď¸ SaaS
đ¸ Finance
đ˘ Enterprise
đ° $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.
⢠Establish and lead a Quality Center of Excellence to transform automated testing and quality practices across approximately 700 engineers ⢠Lead a small team of test automation experts who partner with product engineering teams to diagnose quality gaps, teach sustainable testing practices, and build lasting capability ⢠Define and maintain a quality maturity model/scorecard measuring test pyramid health, automation coverage, test reliability/flakiness, and DORA alignment ⢠Conduct portfolio reviews to identify systemic quality risks, gaps, anti-patterns, and technical debt ⢠Aggregate quality signals, translate technical findings into business-risk language, and report quality maturity trends to engineering leadership ⢠Prioritize QCoE engagement based on strategic impact and risk ⢠Coach engineering teams on unit, acceptance/contract, integration, and E2E testing architecture ⢠Build and teach reusable test automation patterns, frameworks, golden-path templates, and contract/API testing practices ⢠Help teams reduce brittle E2E suites by strengthening acceptance and contract-testing layers ⢠Coach teams on flaky-test remediation, test maintainability, and scalable test infrastructure ⢠Connect test pyramid health and automation practices to DORA outcomes ⢠Run bootcamps, office hours, embedded pairing sessions, and internal certification/maturity programs ⢠Evaluate, pilot, and guide adoption of AI-powered and agentic testing tools ⢠Establish guardrails and communicate AI testing opportunities and risks to leadership ⢠Hire, manage, and mentor senior test automation engineers ⢠Collaborate with product, engineering, and operations stakeholders to align remediation roadmaps
⢠Bachelor's degree in Computer Science, Computer Engineering, or related technical discipline, or equivalent professional experience ⢠Hands-on testing and software quality assurance experience in fast-paced, iterative environments, including multi-tenant SaaS products ⢠Experience testing SaaS/multi-tenant products with on-demand continuous deployment ⢠Familiarity with canaries, feature flags, staged rollouts, simultaneous product versions, and continuous-deployment testing strategies ⢠Deep expertise in test pyramid strategy across unit, acceptance/contract, and integration testing, with a record of reducing E2E over-reliance ⢠Proven experience coaching or consulting with engineering teams using influence without authority ⢠Expert background in test automation and quality engineering programs ⢠Coding proficiency in at least one modern language, such as C#, Java, TypeScript, or Python ⢠Experience with CI/CD principles, tools, infrastructure, version control, and source control management tools such as GitHub or Azure DevOps ⢠Hands-on experience with cloud platforms such as AWS, Azure, or GitHub; Docker; Kubernetes; and multi-tiered infrastructure ⢠Experience in Agile/Scrum environments and with Agile metrics, or willingness to learn DORA metrics deeply ⢠Experience evaluating, piloting, or implementing AI-powered testing tools or agentic solutions ⢠Experience building or presenting quality maturity scorecards/dashboards and communicating technical risk to VP+ or leadership audiences ⢠Foundational understanding of AI concepts and prompt engineering ⢠Desirable: REST APIs, databases, SQL, test automation frameworks, financial software, SaaS, or similar complex product domains
⢠Base salary range of 97,000.00 to 122,000.00 GBP annually ⢠Additional bonus eligibility may apply for non-sales roles ⢠Background checks required where permitted by country, state/province ⢠Equal employment opportunity workplace
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