Salesforce QA Engineer

About the Role

We are looking for a QA Automation Engineer to help ensure quality and reliability across customer data, integration, and marketing activation workflows.

This role focuses on validating end-to-end data flows, platform integrations, and marketing activation processes to help ensure communications are powered by accurate, compliant, and timely data.

Key Responsibilities

Regression Testing: Execute and manage regression testing for platform releases and marketing communications to help ensure changes do not disrupt customer-facing experiences.

Marketing Journey & Automation Testing: Validate marketing journeys, automations, triggered communications, and audience-based workflows across channels and brands.

Customer Data Validation: Test data ingestion, audience segmentation, calculated attributes, and customer profile data to support accurate personalization and campaign targeting.

Integration Testing: Validate end-to-end data flows across CRM, customer data, marketing, and middleware platforms, including API testing, field mapping verification, and data readiness checks.

Content & Communication QA: Review customer communications for rendering, personalization, tracking, brand consistency, compliance, and localization across supported markets.

Test Planning & Documentation: Create and maintain test plans, test cases, QA documentation, and status reporting to support sprint and release activities.

Automated Testing: Develop and maintain automated test scripts for API testing, regression suites, platform workflows, and key business processes.

Production Release Support: Support production release activities through smoke testing, peer reviews, validation, and post-deployment monitoring.

Defect Management: Log, triage, and track defects; collaborate with developers on root cause analysis and resolution; ensure defect fixes are validated before release.

Platform Release Evaluation: Support discovery and regression testing for major platform releases to proactively identify potential impacts to existing communications, data flows, and integrations.

Required Qualifications

QA experience in a CRM, marketing technology, customer data, or enterprise platform environment

Hands-on experience testing email, SMS, or marketing automation platforms, including journeys, triggered sends, audience segmentation, and customer data workflows

Strong understanding of API testing, integration testing, and validation of data movement across systems

Experience with test management tools such as X-Ray for Jira, qTest, Zephyr, or similar platforms

Proficiency in Jira for defect tracking, user story validation, and sprint reporting

Familiarity with data testing, including SQL queries, data validation, customer profile verification, and calculated fields or attributes

Knowledge of CI/CD pipelines and release management practices for enterprise platforms

Solid understanding of Agile/Scrum ceremonies — sprint planning, refinement, daily standups, retrospectives

Preferred Qualifications

Experience with customer data platforms, audience segmentation, data modeling, or calculated insights

Familiarity with middleware, API platforms, or integration tools

Experience with test automation frameworks for CRM, web, API, or enterprise platform testing

Knowledge of monitoring and observability tools for release validation and production support

Experience with CRM loyalty programs or hospitality industry communications

Familiarity with deployment management tools and release testing processes

Experience with Confluence for technical documentation and solution design reviews

Salesforce certifications (e.g., Platform App Builder, Marketing Cloud Email Specialist) are a plus

What You'll Work On

Regression testing aligned to regular platform and product releases

QA validation for customer data expansion, audience segmentation, and calculated insights

End-to-end testing of marketing activation strategies across customer engagement channels

Testing of transactional and lifecycle communications supported by customer profile data

Platform governance, deliverability, compliance, and security regression testing

Work Environment

Team: Collaborative, cross-functional technology environment supporting customer data and marketing platforms

Delivery approach: Agile delivery model with regular sprint planning, refinement, testing, and release support

Tools: Common QA, collaboration, CRM, customer data, marketing automation, integration, deployment, and monitoring tools