SENIOR PM · BACKEND, PLATFORM & SECURITY · BACKCOUNTRY.COM

Enterprise systems weren’t built for what AI can do now. I’m working on that.

I lead backend product for a $600M omnichannel retailer, from AI agents and integration platforms down to the ERP, plus the tooling non-technical teams use to build their own automations.

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selected work

Business Automation at Scale55 weekly usersOne governed path from any tool to live enterprise data.Internal App Hosting Platform7 apps liveWhere business-built AI tools get deployed, shared, and governed.Brand Acquisition Integration$100M in flightA repeatable framework for landing acquired brands on a shared backbone.Dropship, Zero to One$10M channelVendor onboarding, routing, and returns from scratch.Marketplace Expansion2–4 wks → 3 daysFeeds, inventory, orders, and pricing as configurable parts.Payments Modernization2 mo → 3 daysApple Pay, buy now pay later, and a secure call-center payment link.AI Incident Triage Agentdays → hoursDetection, impact quantification, and investigation for every team.Cloud Database Migrationno major impactThe website platform database, moved from bare metal to Oracle Cloud.All case studies →
$30M+ deliveredacross 26 areas · 20+ departments
stack.coverage9 of 26 areas
  • ClientsTouched: ExcelTouched: Python · JSTouched: n8nTouched: Claude CodeWeb apps
  • PlatformTouched: Integration platformAI tools platformTriage agentsOpportunity analysisSelf-serve attributes
  • CoreTouched: ERPOMSTouched: PIMDataExperimentationInfluence: PaymentsInfluence: WMS
  • ChannelsDropshipVendor integrationsMarketplacesProduct feedsAcquired brandsInfluence: Search & browse
  • InfraPlatform infraCloud DB migrationCloud Run · Terraform · CI/CD
  • InfoSecTouched: Centralized access (SSO)Touched: Audit loggingSecure payment link

Designed and led an integration platform that securely connects users to their tools from any client. Centralized access at the platform so teams don’t grant it user by user, tool by tool.

Tools

Frameworks I actually use, built so you can put in your own numbers and argue with them.

All tools →
Value Confidence CalculatorScore the evidence behind a value estimate, not the estimate itself.0.95 × 0.50 × 0.70 = 0.33Open →SwitchbackRecord a browser workflow once and get an SOP with annotated screenshots, without anything leaving your computer.no account · no serverInstall →Experiment DesignerFor changes you can't A/B test: pick the design that survives the constraint, size it, and read the result.lift +6.2% · CI +0.6% to +12.2%Open →The Eval StackDesign an LLM evaluation you can defend, and size the test set before anyone quotes the number.judge × 0.80 of every gainOpen →From Ask to SpecTake the solution you were handed apart, find the problem behind it, and write specs you can test.3 problems → 4 requirementsOpen →

AI shouldn’t just speed up engineers. If you’re working on that too, let’s talk.

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