Marketing operations,
engineered.
Ten-plus years building the data, systems and programs behind B2B growth, in-house and as an advisor. Here’s how I work and what I work with.
About me
I build the machinery behind B2B growth: the data, systems and programs that turn attention into pipeline and pipeline into customers. I’ve done it for more than a decade, across SaaS and eCommerce, in-house and as an advisor.
My style is steady, not flashy. Find the most expensive problem, fix it, then keep improving every week until the small wins compound. I put AI to work where it actually helps and keep people in the loop. And I lead the way I’d want to be led: clear goals, honest numbers and plenty of room to do great work.
- 10+ yearsB2B SaaS marketing operations and demand generation
- ~$5 millionMarketing and ABM program budget managed in-house
- 12 companiesIndependently consulted and advised
- 4xDirectly managed in-house demand generation, growth and web teams
Skills and stack
Data governance and deliverability
Consent and subscription management, GDPR/CCPA, suppression and retention policy, deduplication, sender reputation, DMARC/SPF/DKIM.
Marketing operations
MQL and PQL scoring, routing and speed-to-lead SLAs, lifecycle and funnel definitions, campaign taxonomy, UTM governance, HubSpot administration, martech consolidation.
ABM operations
0 to 1 program builds, target account programs, Claygent research and enrichment, 6sense intent signals, HubSpot buying groups.
AI operations
Agentic workflow design, prompt engineering, LLM evaluation, human-in-the-loop review gates, AI enablement and internal adoption.
CRM integration and sales partnership
HubSpot to Salesforce mapping and sync integrity, shared funnel definitions with RevOps and Sales Ops, SDR/BDR handoff, pipeline reporting for CRO reviews.
Analytics and leadership
Multi-touch attribution, BigQuery reporting, experimentation and CRO. Team leadership, agency management, vendor selection and renewals, budget ownership.
Tools I’ve worked in
- CRM and MAP
- HubSpot Enterprise, Salesforce Sales Cloud, Marketo Engage, Salesforce Account Engagement, Braze, Customer.io
- Data and attribution
- BigQuery, Snowflake, dbt, Fivetran, Segment, Amplitude, HockeyStack, Dreamdata, Looker, Tableau, GA4
- Enrichment and intent
- ZoomInfo, Clay, 6sense, Demandbase, Bombora, Clearbit, Common Room, Koala, Sumble, Hunter, Apollo
- AI and agents
- OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot, Perplexity, Grok Bot, HubSpot Breeze, Salesforce Agentforce, Gong, Claygents
- Agent workflows
- n8n, Zapier Agents, Make, Relevance AI, Gumloop, Lindy
- Building with AI
- Claude Code, Cursor, GitHub Copilot, Lovable, MCP
- Engagement and web
- LinkedIn Campaign Manager, Google Ads, Webflow, WordPress, Mutiny, Algolia, Chili Piper, LeanData, ChatGPT Ads, Microsoft Clarity, Fibbler, Intellimize, VWO, Hotjar, Optimizely
Marketing ops to marketing engineering
How the job is changing: the work, the toolkit, what it’s measured by and where the week goes.
“Fix what’s underneath, and the rest gets easier.”Michael Morgan