Teams at ASAPP

Own the product strategy and execution for observability tools that make AI agent behavior visible, testable, and reviewable. Lead simulation-based scenario creation, evaluation surfaces, mistake monitoring, structured data evaluations, configuration previewing, and production conversation auditing. Partner with Research, Engineering, Sales, Customer Success, and customers to improve AI quality, trust, and iteration speed. Define quality metrics, review workflows, categorization systems, and UX guardrails for reliable agent evaluation.

Own the data product that makes ASAPPs platform trustworthy and actionable: customer-facing dashboards, exports/real-time APIs, event/schema strategy, and data governance. Translate platform data into ROI metrics, run customer discovery, partner with Engineering and Data Science, and maintain trust by resolving data reliability issues.