Quality Assurance Associate Manager, Growth Marketing Operations

What You'll Accomplish

Testing & Validation

• Develop and execute comprehensive test plans for marketing campaigns and audience segmentation logic.
• Validate dynamic content, personalization rules, event triggers, and data accuracy before deployment.
• Identify, document, and track issues related to segmentation mismatches, automation logic, and campaign execution failures.
• Apply a mix of manual, exploratory, and repeatable validation methods based on campaign complexity, risk, and timeline.
• Use AI-assisted workflows where appropriate to accelerate pre-launch checks, spot inconsistencies, and improve test coverage, while maintaining human review and final QA accountability.

Diagnostics & Troubleshooting

• Investigate live campaign issues using platform logs, segmentation reports, and campaign performance data.
• Collaborate with marketing operations, CRM, and data teams to troubleshoot campaign execution errors.
• Validate webhook integrations, API connections, and cross-channel marketing triggers, as needed.
• Surface recurring failure patterns and recommend practical guardrails, checklists, or workflow changes that reduce repeat issues over time.

Data Analysis & Quality Assurance

• Ensure audience segmentation accuracy and data integrity before deployment.
• Use SQL or marketing analytics tools to verify segmentation logic and troubleshoot discrepancies.
• Validate tracking parameters (UTMs, attribution tags) to ensure correct campaign performance reporting.

Process Improvement & Documentation

• Develop QA checklists, testing procedures, and best practices for marketing campaign validation.
• Document troubleshooting steps and campaign QA methodologies to improve team efficiency.
• Provide recommendations to enhance workflow efficiency, audience segmentation, and testing approaches.
• Monitor campaign quality signals after launch and use findings to improve future test strategies and defect prevention.
• Partner with teammates to trial more automated or AI-supported approaches to campaign QA, anomaly detection, and data validation where they can reduce manual toil without compromising quality.

Basic Qualifications

• Bachelor's degree in Computer Science, Computer Engineering or related field of study.
• 2+ years of experience in QA, marketing operations, or CRM platform testing.
• 2+ years of hands-on experience with marketing automation platforms (e.g., Iterable, Braze, Salesforce Marketing Cloud).
• 2+ years of having a strong understanding of email, SMS, push, and in-app messaging campaigns.
• Familiarity with segmentation logic, audience targeting, and personalization strategies.
• Ability to analyze campaign performance data using Google Sheets, Looker, or Mode Analytics.
• Excellent debugging and troubleshooting skills, particularly in diagnosing segmentation and campaign execution issues.
• Experience working cross functionally with marketing, CRM, and analytics teams.
• Demonstrated curiosity about AI and automation, with the ability to use emerging tools thoughtfully to improve QA workflows while maintaining strong judgment and accountability for final outputs.

Preferred Qualifications

• Basic SQL skills to analyze campaign data and investigate segmentation issues.
• Experience using Postman, Retool, or similar API testing tools for troubleshooting integrations.
• Familiarity with QA automation tools or scripting languages (Python or JavaScript) for efficiency improvements.
• Understanding of direct mail QA processes and print vendor integrations.
• Knowledge of email deliverability best practices, sender reputation management, and campaign performance monitoring.
• Experience in fast-paced, agile marketing environments with rapid iteration cycles.
• Experience experimenting with AI tools, prompt-based workflows, or automation assistants in a marketing, operations, or QA context.
• Familiarity with human-in-the-loop QA approaches, where AI helps accelerate validation but humans remain responsible for judgment, escalation, and release readiness.