About
Lead Solutions Engineer at Orderful, working across technical discovery, demos, POCs, RFPs, and enterprise deal support.
Most of my work sits in the messy middle between customer conversations, product constraints, sales process, and internal systems. Lately, that has meant building GTM automation around account research, Clay enrichment, RFP knowledge search, sales-call context, and AI-assisted workflows the team can actually use.
I believe the future of GTM is engineered, not managed. Better context, cleaner systems, fewer repetitive tasks.
Building Pipestash on the side: a GTM brain for turning scattered customer and revenue signals into reusable operating knowledge.
Skills
Technical
Workflow Automation (n8n, Zapier, Trigger.dev)
Technical
AI Agent Frameworks (Claude SDK, LangChain)
Technical
iPaaS & Data Orchestration
Technical
CRM & SFDC Workflows
Technical
AI / ML Platforms
Technical
Solutions Architecture
Technical
API/MCP Integrations
Technical
MCP
Technical
Languages
Python
Languages
JavaScript
Languages
GTM
Technical Demos & POCs
GTM
Enterprise Sales Cycles
GTM
Stakeholder Management
GTM
Revenue Operations
GTM
Experience
Lead Solutions + GTM AI Builder
Orderful
2024 — Present
Minneapolis, MN
Lead SE at an API-first EDI platform, owning technical sales for enterprise accounts while designing and deploying GTM automation tools and AI agent workflows.
- Designed and deployed 8+ GTM automation tools using n8n, AI/LLM pipelines, and custom integrations. Including an AI Sales Coach, autonomous voice-of-customer signal aggregation, and a pipeline management platform
- Built a GTM Brain for the revenue team — a unified context layer that aggregates deal, account, and customer signals into a queryable knowledge base powering AI agents and rep workflows
- Built multi-agent AI workflows for sales coaching (transcript analysis → risk scoring → role-based insights), autonomous signal aggregation from Zoom and Slack, and AI-assisted RFP generation
- Architected data pipelines connecting CRM, Zoom, Slack, and enrichment tools into unified analytics dashboards
- Reduced manual trading partner research effort by 80% through a custom Network Analyzer tool
Senior Solutions Architect - Strategic Partnerships
SPS Commerce
2019 — 2024
Minneapolis, MN
Senior Consultant
SPS Commerce
2017 — 2019
Minneapolis, MN
Education
MBA Information Systems
University of Arizona, Global Campus
2013 — 2015
BBA Marketing
University of Minnesota, Duluth
2005 - 2010
Projects
PipelineOS
Full SE lifecycle platform covering research, demo prep, coaching, and automated follow-ups. Built on n8n with CRM and communication platform integrations.
GTM brain that turns scattered customer and revenue signals into reusable operating knowledge. Ingests calls, CRM data, emails, and docs into a unified context layer that AI agents and reps can query for account context, deal history, and product knowledge — so the team stops re-discovering the same things every quarter.
Voice of Customer Aggregator
Autonomous pipeline that aggregates signals from Zoom transcripts and Slack conversations into structured customer intelligence for product and sales teams.
Integration Design Builder
Internal Chrome extension that enables users to build comprehensive integration design documents based on EDI trading partner scope and perform gap analyses across versions. Leverages APIs to extract and compile data into static design docs for external teams building System of Record integrations.
RFP Knowledge Assistant
Full-stack RFP workflow app backed by PostgreSQL with pgvector for embedding-based semantic search over an RFP knowledgebase. Supports uploading RFPs to automate response drafting, continuously learning and self-healing as product, security, and capability data evolves.
Clay Enrichment Pipeline
Waterfall enrichment workflow in Clay that hydrates raw inbound leads and target accounts with firmographics, technographics, intent signals, and contact data across multiple providers. Outputs ICP-scored, routing-ready records into the CRM so AEs get enriched context before the first touch.
A weekly publication for GTM engineers, produced end-to-end by a multi-agent pipeline I built and run. Specialized agents handle discovery, source ranking, editorial synthesis, and publishing that turns raw industry chatter into a curated issue that ships automatically to a web app every week. Half portfolio piece, half dogfood: a GTM engineer using agents to serve other GTM engineers.
AE Sales Toolkit
Open-source, agentic operating system for account executives. Pull a Granola/Zoom/Teams/Gong transcript and it creates or updates a deal brief; ask for a briefing and it pulls calendar, pipeline, and coaching history into a morning digest; close a deal and it generates a structured CS handover. Includes a post-demo leave-behind generator and a multi-phase AI coaching layer — metrics extraction from call transcripts, LLM-generated insights, and role-based views (AE, Channel, SDR) for data-driven sales coaching. Provider-agnostic (Confluence/Notion, Slack/Teams) with markdown-first storage so data stays portable. Skills share context, chain together, and learn from feedback.