Lead Quality Engineer - R01571704
Posted Updated
Lead Quality Engineer
Job 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 QA
- Validate email builds: copy accuracy, link integrity, image rendering, segmentation logic
- Test nurture/triggered workflows: step sequencing, wait times, conditional branches
- Audit A/B test setup: variant parity, audience sampling, randomization logic
- Verify landing page + form functionality: submission flow, field mapping, GDPR compliance
- Cross-browser/device rendering validation for email and web assets
Program QA
- Validate web form program end-to-end: capture logic, data routing, confirmation messaging
- Test event program flows: registration, confirmation, reminder sends, post-event follow-ups
- Audit audience segmentation: filter accuracy, list counts vs. expected, smart list logic
- Verify content syndication feeds: data structure, field mappings, sync completion
Data QA
- Validate MQL/non-MQL data uploads: schema, normalization, deduplication
- Audit data processing scripts/manual uploads for completeness and accuracy
- Test Salesforce/third-party sync: lead field mapping, data consistency
- Identify and flag data quality issues pre-activation
Third-Party & Integration Testing
- Test third-party HTML email rendering and tracking
- Validate API integrations and manual data exchanges
- Verify platform-to-platform data flow (Marketo ↔ Salesforce, syndication partners, etc.)
________________________________________ Required Skills
- 2+ years QA in marketing automation or MarTech platforms
- Strong Marketo platform knowledge (workflow logic, segmentation, data model)
- Attention to detail; test case documentation
- Basic SQL/Excel for data validation
- HTML literacy (email rendering, form debugging)
Nice-to-Have
- Salesforce CRM experience
- API and data integration testing
- Performance/load testing
- Agile/sprint-based QA process
====================================