About
I build products at the intersection of enterprise technology and AI. At SymphonyAI, I designed and built an analytics platform that turned raw computer vision data into actionable intelligence — identifying over $2M annually in recoverable lost sales across pilot stores and eliminating all manual reporting through end-to-end automation.
Before that, I spent two years at Focal Systems and three years across customer success and solutions engineering roles, bridging product, engineering, and customer teams for enterprise AI platforms. Those roles — and the 25 years of operations leadership that preceded them — gave me something most PMs don't have: I've been the end user AND the customer-facing advocate. I know how to hear what customers actually need when they can't articulate it, align stakeholders with competing priorities, and translate messy real-world problems into specs that engineering can build against. Those instincts transfer to any domain.
In 2025, I started building with AI — not just using it, but architecting systems around it. A multi-agent orchestration framework with RAG pipelines and automated knowledge capture. An Electron desktop app for real-time system monitoring. A B2B SaaS platform from idea to production. I taught myself Python, TypeScript, React, SQL, and Docker by shipping real things that solve real problems.
I'm looking for a product role where customer empathy, domain expertise, and the ability to build are all valued — where the PM doesn't just write the spec but can prototype the proof of concept, present the value in terms customers care about, and shape the roadmap around outcomes that matter. I've spent my career understanding the problem from every angle: as the operator, the customer advocate, and the builder.
Career path
Shipping Products & Exploring What’s Next
Portfolio website, multi-agent desktop app, content automation pipeline. Applying product thinking to everything I build.
Started Building with AI
Multi-agent orchestration systems, RAG pipelines, n8n automation, B2B SaaS platform from scratch. Self-taught Python, TypeScript, React, Docker by shipping real products.
Director, Solutions Engineering & Product Operations
Built enterprise analytics platform for AI-powered monitoring. Multi-customer architecture, automated data pipelines, executive reporting. Identified $2M+ annually in recoverable revenue across pilot locations.
Sr. Business Analyst → Sr. Customer Success Manager
Computer vision enterprise technology. Customer onboarding, data analysis, success management. Bridge between product, engineering, and operations teams.
Sr. Manager, Inventory Control & Cash Management
Multi-location inventory systems, compliance, and cash management controls.
Operations Leadership → Store Director Track
25 years of progressive leadership: P&L management, team development, merchandising, and operational excellence across all departments.
Skills with evidence
Every skill backed by something I actually shipped.
Conducted time & motion field studies across pilot stores, then built the automation that eliminated manual reporting entirely
Built lost sales methodology using Gruen & Corsten benchmarks, identified $2M+ annually across pilots
3 years in CS and solutions engineering — learned to identify what customers need when they can't articulate it, then translate into actionable specs
Aligned engineering, operations, and customer teams across competing priorities — automated executive reporting with trend analysis and AI-generated insights
Explain complex AI and data systems in non-technical terms to customers, executives, and cross-functional teams to drive adoption and shape roadmaps
Built dashboards, ETL pipelines, desktop apps, and SaaS platforms from scratch
68 documentation files covering KPIs, formulas, business logic, and API specifications
16 n8n workflows, 3x daily ETL pipelines, self-learning knowledge capture system
Defined operational KPIs (availability, compliance, task completion) with auditable calculation methodology
Built ROI calculator projecting $47.4M annual labor savings and $98M lost sales recovery
Designed config-driven architecture supporting multiple customer formats with shared core logic
Took B2B SaaS platform from idea to production-ready with multi-tenant architecture