Andrew McGuire × Cresta — GTM Engineer Application

Not a pitch deck.
A working system.

Built on Cresta's own ICP — 63 contact centers called, 461 Ping Wu posts analyzed, 8 signal sources running nightly, 50 accounts scored and sequenced. Every feature you see is what I'd build for Cresta's actual GTM motion.

See the live pipeline → The category play
63
Contact centers called by our AI
8
Signal sources running nightly
50
ICP accounts scored + heat-ranked
40
CX leaders mapped with ICP scores
58%
Of enterprise CCs with no AI at the door
Four rocks · Q3 2026
Rock 01 · Category
Claim the AI contact center category before the window closes.
"We called 63 enterprise contact centers. Here's what we found."
The mystery shopper data turns Cresta from a vendor into a category author. Forrester confirms it. Nobody else has this research.
  • Mystery Shopper Report — "State of Enterprise Contact Centers 2026"
  • Forrester Wave Leader — highest Current Offering score in the category
  • Competitive brief — 9 vendors mapped, Cresta's win angle against each
See the category play →
Rock 02 · Voice
Turn Ping Wu into the definitive voice on AI and contact center.
"The contact center is your brand's voice at its most critical moment."
461 posts analyzed. A precise voice system built. Five launch posts, five carousels, an infographic — all grounded in Cresta's own data.
  • LinkedIn cadence — Mon–Fri launch week, 5 posts ready to publish
  • 5 carousels — ROI math, IVR hell, mystery shopper data, CCO playbook, Forrester
  • Infographic — "State of Enterprise Contact Centers 2026" (1080×1920)
See the content engine →
Rock 03 · Community
Build the surface where enterprise CX leaders gather around Cresta.
"The best contact centers weren't the most automated. They had the best handoffs."
The mystery shopper data is annual research. The CCO community is the distribution channel. Cresta as convener, not just vendor.
  • CX Intelligence Podcast — Ping Wu + CCO guests, mystery shopper data as fuel
  • LinkedIn CCO Hub — community surface for enterprise CX leaders
  • CX Leaders Roundtable — invite-only quarterly dinners, top 20 CCOs
See the community plan →
Rock 04 · Pipeline
50 accounts scored, Mystery Shopped, sequenced, and ready to work.
"We called your support line. Here's what we found."
Heat-scored accounts. CX leaders mapped with ICP scores. Three-touch sequences written in Ping Wu's voice — opening with what our AI found on the actual call.
  • Mystery Shopper — Vapi AI dials each account's support line, extracts IVR platform + quality score
  • 50 accounts — Genesys/Avaya confirmed, Telecom/FSI/Airlines/Healthcare
  • 10 sequences live — 3-touch, mystery shopper hook, Ping Wu voice
View the live pipeline →
GTM Engineer — role alignment
Responsibility 01
Account Prioritization
Use AI and data to help SDR, marketing, and sales focus on the highest-value accounts. Surface contact center scale, BPO footprint, and technology infrastructure.
Built: 8-source signal engine, compound signal scoring, heat-ranked territory view with Mystery Shopper data as the differentiating signal layer.
Responsibility 02
Manual Work Elimination
Replace manual research, opportunity prep, and CRM entry with automation. Develop systems directing sellers on daily focus areas.
Built: Nightly enrichment pipeline across SEC, TheirStack, Grok, Swarm, PDL. Auto-generated account plans, stakeholder maps, and outreach sequences.
Responsibility 03
Deal Execution Automation
Deploy AI agents for quoting, approvals, and document generation. Create real-time deal signals and next-step guidance for every opportunity.
Built: Mystery Shopper as automated pre-call intelligence. 3-touch sequences with real call data as Touch 1. Signal-triggered escalation logic.
Responsibility 04
GTM System Ownership
Write custom code, connect the GTM stack. Integrate Salesforce, Gong, Clay, Centralize, Slack, Glean, Coda. Own sales effectiveness metrics.
Built: Temporal workflows, Next.js portal, Vapi phone scanner, Postgres signal store, Notion auto-publishing, live territory dashboard with heat scores.
The strategic reframe
The GTM Engineer job isn't to build tools. It's to remove the distance between signal and closed deal.
Every enterprise contact center has a support line. Every one of those lines tells a story — IVR depth, platform fingerprint, AI maturity, queue wait times. That story is the discovery conversation before the discovery conversation.

What I built here is what I'd run inside Cresta from day one. A system where the SDR opens with "we called your support line — here's what we found" instead of "do you have a contact center AI strategy?" The signal exists. The question is whether you're the one with it.