The average rep spends less than a third of their week actually selling. My workflows are built to scale across every stage of the sales process, and I personally verify the work along the way. So strategy, customers, and closing get the bulk of my time.
I’ve spent fifteen years leading complex enterprise cycles across martech and CX: selling personalized-experience, engagement, and feedback platforms to marketing and IT in the same deal, for brands like Starbucks, Nike, and Amazon.
My deals live where fragmented martech meets a CFO’s patience: 6–10 stakeholders, technical evaluations, security and legal reviews, partner co-sell with Twilio, Salesforce, and Accenture. I win them by turning that mess into a clear, measurable business case, and by multi-threading from the first call, not the last one.
My pipeline has always been overwhelmingly self-sourced. That’s exactly why I build end-to-end agentic AI workflows for account research, discovery prep, outreach, meeting intelligence, and demo narratives: systems that turn one rep’s best practice into the whole team’s default. Durable, repeatable sales leverage, not just a good quarter.
Series A startup, $477M public company, $1B PE-backed unicorn, late-stage private platform: I’ve carried quota across the whole arc and beaten it at every stop. And at each one, I left more behind than revenue.
Four ownership structures: VC, public, private equity, late-stage private. Quota beaten at all four, through a $6.4B take-private, a PE merger, and the 2022–23 correction.
A net-new vertical launched inside a public company. A Retail & QSR franchise built at Airship. The SMB→enterprise push through a ~5x growth run at Birdeye.
Trained and onboarded 30+ AEs across two scale-ups, plus the enablement the whole org ran on, from call reviews to Digital Sales Rooms and Mutual Success Plans.
Playbooks that moved company metrics: a bundling strategy worth +25% ASP, ICP design for a brand-new market, one message architecture across a territory.
Nine straight years on the record: four companies, two acquisitions, one vertical built from zero. Best year: 170%. Latest: 139% against a $1.4M number.
I treat selling as a system, not a series of heroics. Territory gets mapped before it gets touched. Discovery starts with a hypothesis and ends in quantified pain. Every deal is multi-threaded early, champion built and economic buyer engaged, and the whole cycle runs on a mutual action plan the buyer co-owns, so both sides are accountable to the same close.
The playbook under every cycle I run. Every deal gets qualified, mapped, and championed the same way, so the forecast holds and nothing rides on hope.
Map the market before touching it: score accounts on fit and live signal, then spend the energy where the odds are.
Signal-led, never spray-and-pray: hiring spikes, stack changes, and exec moves open doors; relevance keeps them open.
Walk in with a hypothesis, leave with quantified pain, tied to metrics the business already reports on.
Champion armed, economic buyer engaged early, marketing and IT in the same room. No single-threaded deals.
One shared plan with owners and dates: security, legal & procurement running in parallel from month one.
Prove value fast, then grow it. Point solutions or wedge deals have grown from small 6-figures to multi-million dollar platforms.
No batch and blast. Every touch is researched, personalized, and carries a value hypothesis: a point of view about their business, not a template about mine.
Roughly three of every four closed deals start as pipeline I built myself. Partners and referrals add to it; they don’t replace it.
Live signals first: hiring, stack changes, exec moves, app and site behavior. All before any outreach exists.
See A.I. Workflow →A specific point of view on their business: what’s costing them, what to fix first, and what it’s worth.
The POV lands as something they can use: an audit, a teardown, a working example. Not a meeting request.
POV comments and voice notes, never connect-and-pitch.
Three-line openers built on a live signal, with the hypothesis up front.
A standing motion with our channel team: regular touches, real rapport (Accenture, Salesforce for example).
The work happens weeks before. The show itself is face time: dinners, rapport, momentum. Not badge scanning.
Communities and exec intros, cultivated between deals, not during.
Customers and champions who changed companies: the warmest pipeline there is.
Territory strategy is a joint motion with my SDR: shared account tiers, shared signals, one message architecture. I invest real time in their development, from call reviews to sequence design, because a stronger SDR compounds the entire territory.
My pipeline has always been almost entirely self-sourced, so I built the machine that makes sourcing scale. The repetitive work of a deal cycle runs as one agentic pipeline: data in from the left, five stages down the spine, finished sales assets out the right. It’s built to scale: busywork to the machine, my hours to strategy, more accounts worked deeper. And nothing ships blind: I verify the research, QA every draft, and apply my own judgment before anything reaches a customer. Click any stage, or advance it one step at a time.
Built with: Claude Code·Claude Cowork·n8n·MCP·Crawl4AI·Perplexity Labs·Supabase·Tavily·Anthropic & OpenAI APIs·Multi-agent & RAG patterns. Built once, it runs for any rep on any account, so selling time goes to selling.
Download the prospect’s app and run a real teardown of push strategy, lifecycle gaps, and broken journeys, then send the annotated audit to the mobile leader. The first meeting starts on their roadmap, not my pitch deck.
Screenshot my own first-touch outreach and track how long it takes them to respond, then juxtapose that lag with a GIF of a personalized bot overlay I built on their own site, engaging in seconds. The problem and the fix, proven in one email.
Before any cold touch, map who already has the relationship: partners, customers, champions who moved. Then enter through trust. It’s how $2M of partner-sourced pipeline got built alongside the outbound machine.