Lead Quality EngineerJob requirements

JD: QA Specialist – Marketo Marketing Operations Purpose Ensure quality, accuracy, and compliance across all Marketo campaign builds, data processes, and integrations before production activation. ________________________________________ Major ResponsibilitiesCampaign QAValidate email builds: copy accuracy, link integrity, image rendering, segmentation logicTest nurture/triggered workflows: step sequencing, wait times, conditional branchesAudit A/B test setup: variant parity, audience sampling, randomization logicVerify landing page + form functionality: submission flow, field mapping, GDPR complianceCross-browser/device rendering validation for email and web assetsProgram QAValidate web form program end-to-end: capture logic, data routing, confirmation messagingTest event program flows: registration, confirmation, reminder sends, post-event follow-upsAudit audience segmentation: filter accuracy, list counts vs. expected, smart list logicVerify content syndication feeds: data structure, field mappings, sync completionData QAValidate MQL/non-MQL data uploads: schema, normalization, deduplicationAudit data processing scripts/manual uploads for completeness and accuracyTest Salesforce/third-party sync: lead field mapping,



data consistencyIdentify and flag data quality issues pre-activationThird-Party & Integration TestingTest third-party HTML email rendering and trackingValidate API integrations and manual data exchangesVerify platform-to-platform data flow (Marketo ↔ Salesforce, syndication partners, etc.) ________________________________________ Required Skills2+ years QA in marketing automation or MarTech platformsStrong Marketo platform knowledge (workflow logic, segmentation, data model)Attention to detail; test case documentationBasic SQL/Excel for data validationHTML literacy (email rendering, form debugging)Nice-to-HaveSalesforce CRM experienceAPI and data integration testingPerformance/load testingAgile/sprint-based QA process ====================================We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 Lead Quality Engineer704 (Bengaluru)
🏢 Brillio
📍 Bengaluru