Senior Product Manager, Agentic AI Platform

IBM (HashiCorp, acquired by IBM in 2025) • Remote • May 2026 – Present

• Brought in by leadership to reset a strategically critical agentic AI platform initiative; resetting product strategy, market positioning, and execution roadmap in my first 90 days.
• Defining the enterprise agent control plane: the layer that registers, orchestrates, governs, and observes AI agents. The strategy directly targets the three reasons agent pilots fail to reach production: evaluation gaps, governance friction, and reliability.
• Setting architecture direction for multi-agent orchestration and interoperability: MCP-based tool integration, agent-to-agent (A2A) communication, agent registry and lifecycle management, and orchestration patterns designed for reuse across product teams.
• Establishing 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.
• Driving agentic infrastructure automation: 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.
• Own the shared context layer: 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, Platform Reliability & Operational Intelligence

HashiCorp, then IBM post-acquisition • Remote • Apr 2022 – Apr 2026

Promoted: Product Manager → Senior Product Manager (Jul 2024) → Product Lead (Sep 2025)

• 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 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.
• Architected a 3-layer federated data platform unifying 10+ enterprise systems (Datadog, incident.io, GitHub) into a shared reliability intelligence schema supporting 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 and continuous verification (synthetic testing) programs.
• Built a semantic 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.