HTX Labs

• Design, build, and maintain scalable data architectures that support immersive training XR applications, AI-enabled analytics, adaptive learning, and model-ready data pipelines • Analyze large, multimodal datasets, including telemetry, user behavior, learning outcomes, xAPI/LRS data, qualitative research, and system performance data, to uncover trends, behaviors, and insights that inform product decisions and strategy • Apply machine learning, predictive analytics, clustering, classification, natural language processing, and generative AI techniques to identify user patterns, forecast outcomes, and optimize learning experiences • Collaborate with Product, Engineering, Design, and Learning teams to translate research, analytics, and AI findings into actionable recommendations, product requirements, experiments, and measurable improvements • Develop dashboards, reports, prototypes, and visualization tools that make user behavior, learning effectiveness, AI model performance, and system performance clear to technical and non-technical stakeholders • Integrate, manage, and evaluate analytics systems that monitor XR application performance, learner activity, user experience signals, and AI-enabled product features in real time • Partner with stakeholders to define KPIs, success metrics, research questions, evaluation plans, and AI/product measurement frameworks • Prototype and evaluate AI-assisted research workflows, including automated data coding, insight generation, survey analysis, usability synthesis, persona development, journey analysis, and research repository enrichment • Research and evaluate emerging AI, data, analytics, and XR technologies to improve product intelligence, analytics capabilities, personalization, system efficiency, and user outcomes • Support responsible AI practices by helping define data governance, model evaluation criteria, privacy safeguards, bias and risk considerations, explainability needs, and security compliance across data and AI systems • Foster a culture of data-driven and AI-informed decision-making, experimentation, learning measurement, and continuous product improvement

• Own features from idea through release and iteration • Work in short cycles and incorporate feedback quickly • Collaborate with Product, UX, Content, DevOps, and Cybersecurity • Move forward even when things are not perfectly defined • Focus on solving real problems, not just completing tickets • Build and maintain features across the full stack • Develop APIs, services, and data models that scale • Create user-facing components, dashboards, and tools • Ensure systems work smoothly across web and immersive environments • Write clean, testable, and well-documented code • Participate in code reviews and technical discussions • Follow secure development practices aligned with DoD standards • Work with designers to turn concepts into working interfaces • Partner with DevOps and platform teams to ship reliable systems • Improve performance, architecture, and code quality over time