QA Analyst III – Marketing Technology

🕒 May 12

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Logo of PrizePicks

PrizePicks

201 - 500 employees

🎮 Gaming

⚽ Sports

Gaming • Sports

PrizePicks is an innovative platform that offers a dynamic and interactive way to engage in daily fantasy sports and esports. Users can make predictions on player performances across various sports, including NFL, NBA, MLB, CFB, and more, with the opportunity to win up to 1000x their entry fee. PrizePicks operates legally in 43 U. S. states, Washington D. C. , and Canada, providing a wide range of betting options, including Pick 'Em and Pick 'Em Arena, where users compete against each other for cash rewards. The company emphasizes user engagement with features such as recurring promos and the Streak game, which is free to play and allows participants to earn by building daily win streaks. PrizePicks ensures secure transactions and fast payouts, enhancing user experience and satisfaction in the sphere of real money sports betting.

📋 Description

• Own attribution and deep link testing: Design and execute end-to-end test scenarios that validate attribution accuracy across paid and organic channels — from ad click through install, open, and conversion event — using tools like AppsFlyer. • Validate event data integrity: Trace events from source to destination across our data pipeline — from SDK instrumentation through CDP transformations into downstream platforms like Braze and our data warehouse. • Validate ad platform integrations (paid social & beyond): Test and verify event flows and attribution across major ad platforms, with a strong emphasis on paid social (e.g., Meta, TikTok, Snap). • Execute structured test plans (no-code): Develop and maintain detailed manual and semi-automated test plans for MarTech integrations, including event validation, audience sync accuracy, campaign trigger logic, and API behavior. • Define QA standards for the MarTech stack: Establish testing protocols, documentation standards, and acceptance criteria for new integrations and campaigns. • Drive data quality observability: Proactively monitor data quality across systems — identifying misconfigured events, broken integrations, and attribution anomalies before they surface in dashboards or impact campaigns. • Collaborate cross-functionally: Work closely with Software Engineering, Data Engineering, Product, Marketing, and Analytics to validate that campaign logic, segmentation, and measurement infrastructure behave as intended. • Support incident investigation and resolution: Investigate MarTech-related issues, perform root cause analysis, and validate fixes.

🎯 Requirements

• 4–7 years of QA experience with exposure to marketing technology, analytics, or data pipeline validation • Experience using AI-assisted tools to accelerate test case generation, anomaly detection, or QA workflows • Experience owning or contributing to QA efforts for attribution, engagement platforms, or event-driven systems in production • Experience designing and executing test plans for complex, cross-platform systems (without relying heavily on code-based automation)

🏖️ Benefits

• Company-subsidized medical, dental, & vision plans • 401(k) plan with company match • Annual bonus • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) • Generous paid leave programs, including 16-week paid parental leave and disability benefits • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked • Company-wide in-person events and team outings • Lifestyle enhancement program • Company equipment provided (Windows & Mac options) • Annual performance reviews with opportunities for growth and career development

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