QA Analyst

Location: Remote, Singapore
Classification: Full-time
Level: Senior / Experienced
Position Overview

Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites.

Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:

• Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says

• Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV

• Washington Post: Your kids’ apps are spying on them

• Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empire

• ABC7 News: The State of Children's Privacy Online

• NBC News: How many apps are tracking your children

Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC , London and Singapore.

At Pixalate, we are building technology products for a trustworthy, clean and safe supply chain for Connected TV, Mobile and Web advertising. Our software has transformed how the advertising industry approaches quality and safety through our ratings, risk assessment, compliance, and fraud prevention technology.

Now, we’re looking for a senior-level QA Analyst who lives and breathes data integrity , thrives on complex datasets , and wants to ensure our products set the industry standard for quality and reliability.

Job Description
In this role, you won’t just “test software” — you’ll safeguard the trustworthiness of our data pipelines, analytics, and ML models that power multi-million-dollar business decisions and compliance workflows. You’ll work closely with data engineers, data scientists, and product teams to build rigorous QA frameworks that validate everything from ETL pipelines to automated UI flows.

You’ll have autonomy, high visibility, and the chance to influence product quality across the organization.
Key Responsibilities

• Own end-to-end QA for data-driven features , from raw ingestion through analytics layers and UI presentation.
• Develop and execute comprehensive test plans for high-volume, high-velocity datasets — ensuring accuracy, and completeness.
• Partner with engineering & data science teams to validate ETL logic, transformation rules, and ML training datasets .
• Build automated data validation scripts using SQL/BigQuery queries and integrate them into CI/CD pipelines.
• Implement and maintain automated UI testing using tools like Selenium, Appium, Playwright, or similar.
• Proactively identify data integrity issues and prevent them from reaching production
• Establish QA best practices for data-centric applications and mentor other QA team members.
• Champion data quality metrics as a core part of product health.

Skills and Qualifications

• 3+ years in QA , with a strong focus on data testing and UI automation (ad tech or analytics product experience is a plus).
• Proficiency in SQL or BigQuery Standard SQL for data validation and back-end testing
• Experience validating large-scale datasets, ETL pipelines, or BI dashboards .
• Familiarity with ML model workflows and techniques for QA’ing training data.
• Strong understanding of QA methodologies and automation frameworks.
• Sharp analytical mindset with obsessive attention to detail.
• Excellent communication skills — able to explain complex data issues to non-technical stakeholders.

Why You'll Love Working with Pixalate
At Pixalate, we offer a competitive salary, outstanding benefits, and a dynamic work environment. You will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you're passionate about maintaining high software quality and thrive in a fast-paced, challenging environment, you'll fit right in.

Benefits

• Monthly internet reimbursement
• Casual, remote work environment
• Hybrid, flexible hours
• Opportunity for advancement
• Fun annual team events
• Being part of a high performing team that wants to win and have fun doing it
• Extremely competitive compensation

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