Revenue architect for venture-backed, regulated & Web3-native businesses. Ex-McKinsey, BCG. Two exits. Turning founder-led selling into predictable revenue engines.
Quota-carrying Commercial leader specialising in sales, partnerships, and revenue growth across B2B SaaS, regulated fintech, and deep-tech / Web3 infrastructure.
Ex-McKinsey commercialisation lead with a track record taking ventures from zero to scale: a $1m VeChain Foundation deal, 20+ enterprise integrations, and global alliances with tier-one technology and financial partners.
"I build repeatable sales motions, partner distribution and co-sell ecosystems, and install the operating cadence that turns founder-led selling into a predictable revenue engine."
What I'm brought in to do: own revenue outcomes from pipeline creation to expansion. Build and monetise strategic partnerships. Scale and coach sales teams with clear activity standards. Install RevOps discipline via HubSpot/CRM. Translate complex products into propositions enterprise buyers can procure.
Active and completed fractional engagements - revenue leadership, commercial strategy, and partnerships across B2B SaaS, fintech, Web3 and deep-tech.
I don't just use AI - I build agentic operating systems that run commercial work end-to-end. Voice in, every call captured, CRMs updated, briefings delivered before the day starts. First for my own portfolio, now installed inside client businesses.
Voice replaces typing, every meeting is transcribed automatically, and inboxes and chat channels feed the same pool. Nothing commercial gets lost in someone's notebook.
Specialised agent squads reason over the signal, cross-validate each other, then write to the systems of record over MCP - CRM updates, briefings, decks and drafts, never a copy-paste.
Every meeting is transcribed automatically. Overnight, a nine-agent pipeline mines the transcripts, cross-validates what it finds, updates the CRM and knowledge vault, and lands a briefing in my inbox before the day starts. Zero admin, nothing dropped.
A four-agent pipeline scanned scattered records, mapped and audited them, then wrote a clean HubSpot instance via API - ~145 companies, 97 contacts and 69 deals, enriched with meeting notes, in days not a quarter.
A seven-agent squad reads across a scale-up's systems in strict read-only mode - Slack, Notion, meeting transcripts, financials - and compiles the leadership briefing. A full intelligence function, without the headcount.
Partnership proposals researched, personalised and brand-checked end-to-end - fund-by-fund portfolio overlap analysis feeding branded, board-ready documents. Four tier-one VC proposals shipped in a single sprint.
This is now part of what I'm hired for. I install the same stack inside portfolio companies - HubSpot RevOps, meeting-to-CRM automation, agent-run reporting - so their commercial teams compound instead of catching up on admin.
Build yours →The stack makes the machine fast. This is what makes it convert - the commercial thinking layered on top: which motion fits the market, what the first yes costs a buyer, and where the funnel actually leaks.
Lists built from buying triggers - fresh raises, hiring patterns, filings, capacity signals - never from firmographics alone. Size tells you they could buy; triggers tell you they'll buy now.
Trojan-horse GTM through consultancies, VC platform teams and ecosystem alliances. Trust channels convert an order of magnitude better than cold - so cold is the third spoke, never the wheel.
When the per-unit sale is a grind, reframe the category: portfolio-wide partnerships instead of one-off vendor deals, embedded retainers instead of projects. Change what's being bought.
Diagnose before testing. Find the chokepoint in the data, split national truth from your truth, then run a five-test weekly cadence against the constraint - activation before acquisition, always.
Offer ladders that de-risk the first yes: a fixed-scope entry product that lands, a retainer that expands, an embedded tier that compounds. Test offers against offers, not copy against copy.
Qualification frameworks, activity standards, stage definitions with teeth, weekly pipeline rhythm and a coaching cadence - so the forecast is defendable at board level, not vibes.
A real SaaS funnel I diagnosed this year: trialists were reaching the product, but the one feature that predicts conversion sat behind an 8% door - while the debate raged about ad spend. The answer wasn't more traffic. It was activation.
Rule: never buy volume until you know where it dies. Every engagement starts with the funnel autopsy, not the channel plan.
Trained on the classics - SPIN, MEDDIC, Challenger - deployed only where they fit. The framework serves the deal, never the other way round.
13 years building, selling, and scaling - from launching a startup at university to managing $27m pipelines at BCG, to running a portfolio of venture-backed businesses.
From podcast studios to stages with 300+ investors - building communities, telling stories, and putting founders in front of the people who write cheques.
As co-founder and Commercial Director at Block Dojo, I designed, produced, and hosted 11 cohort demo days and showcase events from scratch across London and the Philippines. This meant finding and securing venues, curating the startup line-up, coaching founders on their pitches, and filling the room. Each event brought together 300+ angels, VCs, and corporate partners - from Hoxton Ventures and Octopus to Google Cloud and HSBC Innovation Banking. Beyond demo days, I led the creation and organisation of 50+ investor lunches and dinners over 3 years - intimate, curated convenings that drove follow-on introductions and co-investment. I also helped organise and attend events at the House of Lords and played a key role in organising the London Blockchain Conference. I built the invite lists, managed sponsorships, ran the production on the day, and MC'd the entire programme. These weren't just pitch nights - they were the primary deal-flow engine for a portfolio that went on to be valued at $138m.
