Overview

At PrizePicks, we are changing the game in daily fantasy sports. We are a passionate team of innovators dedicated to creating a best-in-class experience for our members. Our engineering team builds and scales the platform that powers our explosive growth — from our consumer-facing mobile app to the services that handle millions of daily transactions. We are looking for a Senior Software Engineer to join our Overall Game Experience (OGX) team and help us continue to build the future of fantasy sports.

Job summary

We are looking for an experienced QA Analyst with strong experience in marketing technology and data validation to join our MarTech team. In this role, you will own end-to-end quality for our customer engagement and attribution infrastructure, spanning mobile deep linking, multi-touch attribution pipelines, and the event data that flows between our CDP, engagement platforms, and advertising ecosystem.

You will design and execute comprehensive test strategies, validate complex cross-platform data flows, and act as the quality authority for our MarTech stack. This role is highly analytical and investigative - ideal for someone who thinks in systems and data, thrives in ambiguity, and wants to directly impact how we measure and grow the product.

What you’ll do

• 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 deep linking flows across iOS and Android, including deferred, contextual, and universal link scenarios.
• 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. Identify schema drift, dropped events, duplication, and incorrect mappings before they reach production.
• 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). Validate pixel and SDK events, click tracking, postbacks, and conversion mapping. Ensure campaign performance data aligns across platforms and internal reporting.
• 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. Partner with engineering where automation is appropriate, but remain the owner of test coverage and validation strategy.
• Define QA standards for the MarTech stack: Establish testing protocols, documentation standards, and acceptance criteria for new integrations and campaigns. Ensure testability and observability are considered early in the lifecycle.
• 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. Translate business requirements into clear test cases and communicate findings effectively.
• Support incident investigation and resolution: Investigate MarTech-related issues, perform root cause analysis, and validate fixes. Ensure regressions are well understood and prevented through improved test coverage and monitoring.

What you have

Experience

• 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)

Technical skills

• Experience with mobile attribution platforms — AppsFlyer, Adjust, or similar — including deep link validation and install attribution flows
• Familiarity with paid media platforms, especially paid social (Meta, TikTok, Snap), including pixel/SDK validation, event mapping, and conversion tracking
• Experience with customer engagement platforms — Braze, Iterable, or similar — including campaign logic and segmentation validation
• Working knowledge of CDPs and event streaming tools — RudderStack, Segment, mParticle, or similar — and the ability to trace event payloads across systems
• Strong data literacy: ability to interpret event schemas, validate payload structure, and reason through multi-step data flows
• Working knowledge of AdTech concepts including click tracking, postbacks, and conversion attribution
• Comfort using SQL or similar tools to validate data, analyze discrepancies, and quantify impact

Working style

• Highly analytical and detail-oriented, with a strong instinct for identifying inconsistencies in data and system behavior
• Comfortable operating in complex, multi-vendor environments with incomplete documentation
• Clear communicator who can translate technical findings into business impact and risk
• Proactive and ownership-driven — you don’t wait for issues to surface; you go find them

What makes you stand out

• Experience designing or leveraging agentic workflows (e.g., autonomous or semi-autonomous QA agents for monitoring, validation, or investigation)
• Familiarity with privacy-centric attribution methodologies — SKAdNetwork, Privacy Sandbox, or modeled attribution
• Background working with marketing analytics teams, including exposure to incrementality testing, attribution modeling, or MMM
• Strong SQL skills for deep data validation and anomaly detection across large datasets

Where You’ll Live

While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote

Working at PrizePicks:

The typical salary range for this position is $115,000 to $120,000At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. 

Date Posted: May 12, 2026

First Extension: June 13, 2026

Second Extension: July 13, 2026