Staff Quality Engineering Lead (Gaming AI)

Join our team as a Staff Quality Engineering Lead for Gaming AI. In this leadership role, you will own the quality strategy for the entire Gaming AI organization, design AI-native quality systems, and solve the evaluation of non-deterministic output. You will also tie quality to creator outcomes, turn defects into intelligence, shift quality upstream, drive adoption across disciplines, own the release decision, and represent quality in technical strategy. This position offers comprehensive benefits, including health insurance, employee stock ownership, generous vacation, and more.

• Definir la estrategia de calidad, los estándares y los criterios de liberación para los productos de autoría de IA.
• Construir sistemas de calidad nativos de IA, establecer revisiones de código asistidas por IA y pruebas generadas automáticamente.
• Diseñar y operar nuestra metodología de IA como juez, incluyendo rúbricas, muestreo de múltiples ejecuciones y acuerdo entre múltiples jueces.

• A habit of connecting quality work to product outcomes — able to point to a quality investment that measurably changed user behavior or business results, not just a dashboard that turned green
• A track record of building quality systems — frameworks, platforms, processes, and tooling that other teams adopt — rather than primarily executing test plans
• Demonstrated ability to lead through influence rather than headcount, setting standards adopted by teams you do not manage and aligning stakeholders across engineering, art, and product
• Extensive experience in software quality engineering, SDET, or quality leadership, including recent ownership of the quality bar for a multi-team organization
• Experience designing evaluation methodology for systems without a single correct answer — LLM-as-judge, rubric design, inter-rater and multi-run agreement, calibration against human judgment, and the statistics needed to tell signal from noise
• Hands-on, current use of AI and agent tooling in the software development lifecycle: AI-assisted code review, test generation, agentic workflows. We are looking for genuine daily practice, not familiarity with the concepts
• Depth in test automation architecture across the pyramid — unit, integration, end-to-end — including CI/CD quality gates, test impact analysis and selection, and disciplined management of flaky tests
• Strong written and verbal communication, with the ability to make quality legible to executives and actionable for individual contributors
• Treats performance and cost as quality attributes rather than someone else's problem: latency, throughput, cost per operation, and run-to-run consistency, measured and regression-tested alongside correctness
• Strong ownership and backbone: a track record of holding a quality line under schedule pressure, disagreeing with senior stakeholders when the evidence warrants it, and owning the outcome either way — paired with the judgment to know which risks are worth accepting and the discipline to commit once a decision is made
• Experience building defect analytics and quality metrics that change behavior: triage and prioritization frameworks, regression attribution, and reporting that leadership actually acts on
• Experience validating content and asset pipelines, or evaluating generated art and design output
• Game development or game QA experience, in a studio or on an engine team
• Familiarity with Unity, Unreal, or a comparable real-time 3D engine
• Performance, load, and latency testing for real-time or interactive systems
• Experience standing up a quality function or practice from scratch
• Exposure to security, privacy, or compliance testing in a product context
• Familiarity with C#/.NET or Python, and with cloud backends on Azure or Google Cloud