Marketing Operator and Revenue Systems Architect building AI systems that accelerate data quality and GTM velocity, across the customer journey.
Attribution, lifecycle, routing, and SLA designed as one system instead of forty workflows that fire out of sequence.
Agents that build campaigns, emails, and workflows, write documentation, and answer questions to free up ops work.
Validation, cleansing, and governance built into pipelines and entry points, so systems read as one source of truth.
Behavioral scores and demographic grades to stack rank your highest sales propensity leads.
A sourcing chain that fixes first touch, holds last touch, and stamps the conversion event that actually mattered - aligned to stakeholder agreed upon values.
Demographic grading and behavior scoring rebuilt as two clean inputs to one qualification tier, with junk filtered before it counts.
A Claygent that uses Marketo to discern team adoption apart from individual use, then flags in-TAM accounts to bubble up to sales early.
A continuous link between BigQuery and HubSpot, built in n8n that pulls raw data, cleans it, and structures it so every downstream system reads the same accurate customer record.
MOPSbot's featured recommendation: an agent that drafts campaign copy, emails, and briefs from the same live context, so every customer gets the same story across their journey, in your words.
I started in campaign execution and ended up on the operations side of the house. Most of my work is making the customer experience smooth, while creating operational systems that play nice across the entire GTM stack. I own the ops architecture end to end: I decide how it should work, ship it, then optimize and iterate.
I'm based outside Portland, Oregon, and spend a lot of my time outdoors with my dog. I like solving problems and untangling systems. Connect with me on LinkedIn.