Tony Steigerwald
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Senior Enterprise Account Executive · AI-Driven GTM
An experienced enterprise seller who is also genuinely technical.
15+ years selling martech, CX, and personalized-experience platforms to marketing and IT together, plus an agentic workflow system that scales the whole team’s output, not just my own desk.
▲ 123% avg attainment · 8 yrs
Starbucks
Nike
Amazon
GitHub
Cloudflare
Chipotle
Best Buy
QTQuikTrip
TriNet
Tektronix
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.
Eight 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: $120K entries have become $700K 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.
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.
Warm paths through Twilio, Salesforce, Movable Ink & agencies.
Meetings booked before the show: the event is the close, not the open.
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.
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.
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. 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.
Open to Enterprise / Strategic AE roles where technical fluency is an advantage, not a footnote. The resume has the details; this page is the trailer.