Gerald Dagher
Product Lead, Platform • Applied AI/ML Since 2022 • Enterprise Reliability & Operational Intelligence
Professional Summary
Product leader building the systems that make AI agents production-grade. Now Product Lead for Platform at Panorama Education, owning platform strategy behind a K-12 student insight platform that serves 15 million students. Previously owned product strategy for IBM’s Agentic AI Platform, the agent control plane and orchestration layer spanning agent interoperability (MCP, A2A), evaluation frameworks, and a shared context layer, so teams could run AI agents for Terraform and infrastructure workflows. The AI work started well before agents. Four years applying AI/ML to production infrastructure across HashiCorp’s full portfolio, from change-risk models and semantic PII analysis to an AI-powered reliability platform behind a nine-figure ARR cloud business, carried through IBM’s $6.4B acquisition. Recognized at IBM Tech 2026, IBM’s invitation-only honor for its top technical talent. Deep expertise in AI/ML and platform product management, federated data architecture, and FedRAMP High / SOC 2 / ISO 27001 environments.
Experience
Product Lead, Platform
Panorama Education • Remote • Sep 2026 – Present
- Own platform strategy across the foundational capabilities behind Panorama’s K-12 student insight platform (shared services, infrastructure, developer tooling, and operational standards), serving 15 million students in 2,000 districts as the senior platform voice across product, engineering, SRE, data, and security.
Product Lead, Agentic AI Platform
IBM (HashiCorp, acquired by IBM in 2025) • Remote • May 2026 – Sep 2026
- Brought in by leadership to reset a strategically critical agentic AI platform initiative; reset product strategy, market positioning, and execution roadmap in my first 90 days.
- Defined the enterprise agent control plane, the layer that registers, orchestrates, governs, and observes AI agents. The strategy targeted the three reasons agent pilots fail to reach production, namely evaluation gaps, governance friction, and reliability.
- Set architecture direction for multi-agent orchestration and interoperability, including MCP-based tool integration, agent-to-agent (A2A) communication, agent registry and lifecycle management, and orchestration patterns designed for reuse across product teams.
- Established agent evaluation frameworks (offline eval sets, online quality metrics) and tiered autonomy governance (trust boundaries, guardrails, human-in-the-loop approval gates) so agents earn expanded autonomy through demonstrated reliability.
- Drove agentic infrastructure automation, with AI agents that plan, validate, and safely execute Terraform and other core workflows across the HashiCorp Cloud Platform portfolio, applying a decade of change-risk and reliability discipline to agent-driven change in production systems.
- Owned the shared context layer, a unified, governed context architecture (context engineering) that grounds agents and AI workflows in consistent organizational knowledge, the foundation for agent accuracy and safe tool use at scale.
- Refocused delivery from 12 engineering teams to 2 surgically focused teams to concentrate investment on the highest-leverage platform capabilities and restore execution velocity.
Senior Product Manager & Product Lead, AI-Powered Reliability & Operational Intelligence
HashiCorp, then IBM post-acquisition • Remote • Apr 2022 – Apr 2026
Promoted from Product Manager to Senior Product Manager (Jul 2024) to Product Lead (Sep 2025) • Carried through IBM’s $6.4B acquisition of HashiCorp
- Owned reliability, disaster recovery, and applied AI/ML platform strategy across HashiCorp’s full product portfolio, including the cloud-managed HCP suite (Terraform, Vault, Consul, and more) and self-managed enterprise deployments, partnering with 18+ engineering teams across Infrastructure, SRE, Service, and Product Engineering.
- Led 0-to-1 strategy and execution of an executive-sponsored, AI-powered Enterprise Reliability Platform targeting 99.99% availability and a new enterprise revenue tier within a nine-figure ARR portfolio.
- Designed and shipped an AI/ML change-risk model with precision/recall-optimized success criteria, projected to accelerate low-complexity deployments 20–30% while protecting high-risk releases; an early production application of ML to infrastructure change management.
- Architected a 3-layer federated data platform unifying 10+ enterprise systems (Datadog, incident.io, GitHub) into a shared reliability intelligence schema, the data foundation for AI-driven operations and multi-tier SLA orchestration.
- Modernized CI/CD guardrails and automated validation, enabling 70% faster deployments; delivered dependency-aware disaster recovery reducing recovery time by 80%+.
- Shifted 15–20% of engineering capacity from reactive firefighting to proactive work through automated context marshaling (context engineering before it had the name) and continuous verification (synthetic testing) programs.
- Built a semantic (NLP-based) PII analysis platform adopted across the GRC organization, saving hundreds of person-hours annually; partnered with Security and Customer Trust on FedRAMP High, SOC 2, and ISO 27001 readiness.
- Established portfolio operating mechanisms (service tiering, executive scorecards, ARR-linked risk reviews) and mentored PMs across 10+ globally distributed teams.
Product Manager
Sentry Data Systems, acquired by Craneware Group • Remote • Sep 2019 – Apr 2022
- Led product strategy for pharmacy compliance and drug purchasing analytics SaaS serving 10,000+ hospitals, pharmacies, and clinics in HIPAA/CMS-regulated environments.
- Delivered workflow modernization and compliance automation improving client satisfaction 23% and operational efficiency 37%; improved retention to 89% through engagement-driven prioritization (DAU/MAU, usage patterns).
- Coordinated cross-functional delivery across engineering, architecture, and QA to reduce time-to-compliance and strengthen audit readiness.
Senior Business Analyst | Network Operations Manager
AT&T • Fort Lauderdale, FL & Statesville, NC • Sep 2014 – Sep 2019
- Improved NPS 22% and drove 19% operational efficiency gains leading 20-technician field operations across OSP and central office environments; delivered 8% cost reduction and 12% service efficiency improvement across U-verse and DirecTV.
- Built MSOC-based operational controls and training programs; influenced multi-million-dollar technology investment decisions through hardware, network, and service-risk evaluation.
Recognition & Education
IBM Tech 2026
Invitation-only recognition of IBM’s top technical talent, fewer than 2,000 honorees selected annually from a global workforce of roughly 287,000 (top <1%).
Master of Science, Management Information Systems
Nova Southeastern University • 2013
Skills
Agentic AI Platforms
- Agent Orchestration
- Agent Control Plane
- Multi-Agent Systems
- Agent Interoperability (MCP, A2A)
- Agent Evals & Evaluation Frameworks
- Context Engineering / Enterprise Context Layer
- Agent Observability
- Guardrails & Autonomy Governance
- Human-in-the-Loop Design
AI/ML Product Management
- LLM-Powered Product Development
- AIOps
- MLOps
- Model Drift Detection
- Probabilistic Success Criteria (Precision/Recall)
- Responsible AI & AI Governance
- Explainability
Platform & Reliability
- Platform-as-a-Product
- Developer Experience (DX)
- API Product Management
- SRE (SLIs/SLOs, Error Budgets)
- Resilience Engineering (Chaos Engineering, Continuous Verification, Dependency-Aware Recovery)
- Observability (Metrics/Logs/Traces)
- Incident & Change Management
- Federated Data Architecture
Compliance & Risk
- FedRAMP High
- SOC 2
- ISO 27001
- HIPAA/CMS
- Data Privacy (PII / Semantic Analysis)
- GRC Partnership
- Policy as Code
Leadership & Practice
- 0-to-1 Product Development
- Product Vision & Strategy
- Executive Communication
- Portfolio Governance
- OKRs
- PM Mentorship
- Roadmap & Prioritization
- Jobs-to-be-Done
- Agile/Scrum
Platforms & Tools
- AWS
- Azure
- HashiCorp / HCP (Terraform, Vault, Consul, Nomad, Waypoint, Packer)
- Datadog
- PagerDuty
- incident.io
- Snowflake
- Temporal
- Jira
- Confluence