Quality Assurance Lead at LinkedIn
Ontario, Ontario, Canada -
Full Time


Start Date

Immediate

Expiry Date

01 Dec, 26

Salary

0.0

Posted On

02 Sep, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Software Development & Publishing

Description
  • End-to-end test plans, scenarios, cases, execution results, and defect logs for omni-channel journeys.
  • Validation of data flows, eligibility rules, personalization, channel delivery, and customer journey behavior.
  • Evidence of testing and release-readiness across relevant campaign systems, channels, and dependencies.
  • Defect tracking, remediation validation, and final QA sign-off support.
  • QA documentation and handover materials to support repeatability and continuity.

Duties of the Position

  • Test full omni-channel journeys across data flows, eligibility rules, personalization logic, and delivery paths.
  • Develop and execute end-to-end test scenarios based on requirements, journey design, campaign rules, and platform configuration.
  • Validate that audience selection, suppression, exclusions, timing, personalization, content, and channel delivery behave as expected.
  • Identify, document, prioritize, and retest defects across systems and handoffs.
  • Work with journey builders, developers, technical leads, business analysts, content designers, copywriters, andstakeholders to resolve issues.
  • Support release readiness by documenting results, risks, open issues, and sign-off status.
  • Contribute to QA standards, checklists, and knowledge transfer materials.

Skills and Experience Required

  • Experience testing end-to-end digital, CRM, marketing automation, or omni-channel customer journeys.
  • Strong understanding of QA methods, test case design, defect management, regression testing, and release readiness.
  • Ability to validate data flows, eligibility logic, personalization, sequencing, channel behavior, and campaign delivery.
  • Familiarity with SFMC, Data Cloud, AEP, AJO, AEM, Braze, Tableau, Power BI, Databricks, or similar campaign/data platforms is preferred based on the platforms named in the role and program context.
  • Strong analytical thinking, attention to detail, and ability to work across business and technical teams.
  • Ability to work on-shore, because the file states this role is on-shore only and does not have a near-shore rate published.
  • Ability to support high first-pass accuracy and quality expectations that are tracked at the individual resource level.


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Responsibilities
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