Quality and Compliance Director, TSS
Epic GamesCary,North Carolina,United StatesPosted 13 March 2026
Tech Stack
Job Description
WHAT MAKES US EPIC?
At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.
Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.
TRUST AND SAFETY
What We Do
The Epic Trust and Safety team provides a safer experience for Epic users. We work across multiple products and services to improve technology and craft transparent policies so our players and users can have positive experiences on our platforms.
What You'll Do
As the Quality and Compliance Director on the Trust, Safety, and Support (TSS) team, you will lead a quality assurance function responsible for auditing moderation enforcement decisions, player support workflows and machine learning model performance. You’ll oversee a small, highly specialized team focused on identifying quality gaps, driving systemic improvements, and ensuring that the trust and safety and player support functions meet Epic’s quality standards. This role bridges technical, operational, and strategic domains to ensure exceptional player experiences.
In this role, you will
Lead the end-to-end development and execution of scalable QA frameworks, methodologies, and processes, including measurable quality KPIs across human and automated systems to ensure accuracy, fairness, and efficiency of moderation decisions and player support performance
Identify gaps and opportunities in moderation and player support workflows, recommending improvements through automation, training enhancements, and new processes. Analyze QA data to generate actionable insights that improve player support and moderation outcomes, agent performance, and overall operational efficiency
Partner cross-functionally with knowledge management, operations, data science, policy, and product to create robust calibration processes, ensuring alignment between human moderators, player support agents, machine learning models, and Epic’s policies. Partner with vendor management to ensure external vendors adhere to Epic’s quality standards and to drive continuous improvement
Audit outputs of human moderators, player support agents and ML classifiers for fairness, accuracy, and unintended bias. Provide actionable feedback to knowledge and training, operations, policy and ML teams
Investigate quality issues, conduct root cause analysis, and implement corrective actions to mitigate risks and prevent recurrence. Work closely with the legal and compliance teams to ensure the Trust, Safety and Support teams are meeting regulatory requirements
Report on quality KPIs and trends to senior leadership; flag emerging risks and propose mitigation strategies
Lead and develop a small high-performing team, fostering a culture of operational excellence, accountability, and innovation in support of Risk and Response initiatives
What we're looking for
7+ years in trust safety or support quality assurance, risk operations or a related field within a technology or gaming company
5+ years in a leadership role with experience managing quality, audit, or oversight teams, and building high performing quality programs
Experience auditing machine learning models, human moderation decision and support agent performance
Strong background working with classifier evaluation concepts (e.g., precision, recall, confusion matrix) and content moderation tooling
Proven experience working with and evaluating vendor performance in global content moderation or support operations
Ability to distill complex data into clear narratives for cross-functional stakeholders
Experience with data visualization tools such as Tableau, and comfort working with large datasets
Strong verbal and wr ... (truncated, view full listing at source)
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