This position is based in our Orlando, FL office.We are looking for an AI-native product leader with a strong background in network observability, cloud networking, or infrastructure platforms to drive the next generation of intelligent, compliance-aware observability for hyperscaler and sovereign cloud environments.This role goes beyond traditional monitoring — you will design and deliver capabilities that leverage AI/ML, LLMs, and agentic automation to:Predict network degradations before they impact services.Automate compliance validation for sovereign workloads.Orchestrate autonomous remediation workflows that minimize human intervention.You will own the end-to-end product lifecycle, from vision and architecture definition to adoption and continuous improvement, ensuring network observability evolves into a self-healing, compliance-assured platform.What you get to do in this role:  Strategic LeadershipDefine and execute a multi-year AI-native network observability strategy spanning hyperscale and sovereign cloud deployments.Establish a vision for predictive, automated observability — moving from reactive monitoring to autonomous, intelligence-driven operations.Anticipate technology and regulatory changes (AI governance, sovereign cloud evolution, hyperscaler service updates) to keep the platform ahead of the curve.AI-Enhanced Platform DevelopmentDesign and deliver AI/ML-powered telemetry pipelines that analyze high-volume network data (flow logs, packet captures, metrics) for anomalies and degradation patterns.Embed LLM-based reasoning agents for root cause analysis, network impact assessment, and remediation recommendations.Implement agentic AI workflows to:Detect compliance deviations (data residency, encryption policy breaches).Automate configuration drift detection and corrective actions.Simulate network failure scenarios for resilience validation.Integrate with hyperscaler-native capabilities, ensuring AI inference models work in both standard and sovereign cloud environments.Sovereign Cloud Compliance & AutonomyBuild observability solutions that are compliance-aware by design:Sovereign-certified encryption and key management.Data residency assurance for AI training datasets.Role-based, jurisdiction-compliant access to AI insights and telemetry.Ensure AI models are trained and executed in sovereign-compliant environments without violating jurisdictional restrictions.Support air-gapped and low-connectivity deployments with edge AI inference capabilities.Cross-Organizational CollaborationPartner with SRE, cloud networking, compliance, and AI/ML engineering teams to deliver production-grade AI observability features.Collaborate with governance teams to align AI observability outputs with audit, risk, and compliance frameworks.Drive alignment with architecture and operations teams to standardize AI-driven operational playbooks.Measurement & OptimizationDefine AI performance KPIs such as prediction accuracy, false positive rates, automated resolution percentage, and compliance drift detection rate.Continuously refine AI models using telemetry feedback loops, ensuring high accuracy and relevance.Measure operational impact — reductions in MTTR, incident frequency, and compliance breach risk.
