ABOUT
Ten years in revenue, from enterprise software to the earliest stage. Carried quota at a decacorn, built and scaled commercial functions inside startups, and have twice led go-to-market as head of function.
Today I work with founders and revenue leaders on putting the best available AI to work across their go-to-market, so revenue and pipeline grow without headcount following it. Increasingly that means conducting a team of agents, and running experiments: hypothesis, test, measure, keep what survives.
I also write small cheques into angel and pre-seed rounds, usually with the go-to-market work attached.
Outside that: founded a school in Uganda, padel addict, PADI Advanced scuba diver, avid meditator, and a cook with more ambition than technique.
Message first
Outbound canβt fix a story nobody understands
Everything is a test
Hypothesis, sample size, decision rule
AI-first by default
Research, enrichment, analysis, drafting
Measure what you act on
The rest is vanity
I close the early deals
Not just the playbook
Systems stay behind
The stack still runs after I leave
EDUCATION
MSc Fintech Entrepreneurship, UCL (Distinction, top of cohort)
BA Business Economics, Kent (First Class)
Working with founders and revenue leaders on AI-first GTM. Also open to the right full-time role. Either way, say hi π