Roles & Responsibilities

Quality Review & Interaction Auditing

•Conduct systematic QA evaluations of support interactions — including tickets, live chats, email threads, and escalation cases — assessing accuracy, technical correctness, process adherence, and communication quality against defined QA rubrics.

•Audit technical integration support cases involving API failures, tracking discrepancies, SDK issues, and payload errors to ensure agents are following correct diagnostic and resolution procedures.

•Perform targeted calibration reviews of high-complexity cases involving billing disputes, conversion attribution discrepancies, and ad policy escalations to validate consistency across the support team.

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2. SQL-Based Data Quality & Analytics QA

•Write and execute advanced SQL queries to validate data pipeline outputs, verify conversion event integrity, cross-check attribution data, and audit reporting accuracy across platform databases.

•Identify data anomalies, duplicate event records, missing conversion signals, and attribution calculation errors through systematic SQL-driven investigation and root-cause analysis.

•Build and maintain SQL-based QA dashboards and reporting scripts that surface team-level quality metrics, defect frequency trends, and SLA compliance data for operational reporting.



3. API & Integration Quality Validation

•Review and validate API integration implementations — including RESTful APIs, webhooks, and server-side tracking configurations — to ensure they conform to platform documentation, schema requirements, and expected behavioral standards.

•Audit API request and response payloads in JSON and XML formats to identify malformed data, missing required parameters, schema mismatches, incorrect authentication headers, and error code handling failures.


4. Conversion Tracking & Attribution QA

•Perform end-to-end quality validation of conversion tracking setups — including pixel-based, server-side, and hybrid event architectures — to confirm data completeness, deduplication accuracy, and event schema compliance.

•Review and validate attribution model outputs, cross-checking multi-touch attribution calculations, attribution window configurations, and conversion path logic against expected platform behavior and client specifications.


5. Ads Manager & Platform QA

•Evaluate the quality of support interactions and technical resolutions related to Ads Manager platforms — including Meta Business Suite, Google Ads, TikTok for Business, and similar — verifying that agents apply correct platform knowledge and follow documented workflows.


6. Test Case Design & QA Documentation

•Design, write, and maintain comprehensive QA test cases and evaluation rubrics covering technical integration scenarios, API validation workflows, conversion tracking checks, and attribution verification procedures.

•Develop structured QA checklists and scoring matrices for evaluating support interactions across dimensions including technical accuracy, process compliance, communication quality, and resolution completeness.



Qualifications

•Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.

•Equivalent hands-on technical experience in a QA, support engineering, or ad tech role will be considered alongside formal education
Experience

•2–4 years of professional experience in backend product support, ad tech engineering support, technical integrations, or a quality assurance role in a technical environment BPO is required)

•Experience in a SaaS product environment is strongly preferred; familiarity with platform-based support workflows and API-first products is highly valued.

•Prior exposure to quality assurance, QA auditing, technical writing, or process evaluation is a significant advantage.

•Direct experience working with ad tech platforms, digital advertising ecosystems, or marketing analytics tools is preferred.


Technical Skills

SQL & Data Analysis

•Strong to expert-level SQL skills: complex joins, window functions, CTEs, subqueries, aggregations, and query optimization.


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