Tapcart's AEs are told to use AI to "create assets that deliver value to your prospect's inbox", and the role is outbound. The most valuable asset a DTC founder can receive is a short, specific look at their own mobile store, with what an app would change.
First action
Build the teardown template and run it on five target brands in one category.
How to measure it
Reply rate with teardown
- Now
- –
- Target
- 15%
- By
- 45 days
Steps
Pick the categories
Fashion, beauty, wellness and food, matching the case studies.
Account Executive (NY/LA) 1 hour
Build the template
Six blocks: speed, checkout, retention channels, peer proof, three app moments, next step.
Account Executive (NY/LA) 1 day
Write the AI prompt
Turns a store URL and screenshots into a first draft the AE checks.
Sr. AI Engineer 1 day
Add peer proof
One case study number per category, from the published case studies.
Marketing 2 hours
Run five
One category, five brands, checked by hand.
Account Executive (NY/LA) 2 days
Send and follow up
Teardown first, demo invite after a reply or a view.
Account Executive (NY/LA) 1 week
Share the best
A Slack channel of teardowns that got replies.
Account Executive (NY/LA) Weekly
Why it works
For each target brand, the AE produces a one-page teardown: their mobile web speed and checkout steps, what they do with email and SMS today, which Tapcart customers in the same category show results (Béis conversion, Princess Polly retention, LSKD BFCM share), and three app moments the brand could run in its first month (drops, exclusives, push). The teardown is the first email; the demo is the second.
A generic "mobile apps convert better" pitch looks like every rival's. A teardown with the brand's own screenshots shows the AE understands their business, which the job post says prospects expect, and it gives the Solutions Engineer a head start on discovery.
Ready to use
CopyMobile teardown, one page
1. Your mobile store today: load time, steps to checkout, what a returning shopper sees 2. How you keep customers now: email, SMS, loyalty 3. Brands like you on Tapcart: one result and a link 4. Three app moments for your first month: a drop, an app-only exclusive, a push sequence 5. What launch takes: timeline and who does what 6. Next step: a 20-minute call with a Solutions Engineer
Risks and how to handle them
Teardowns look automated
The AE adds one personal observation and checks every number.
Peer numbers do not transfer
Say "brands like you" and link the case study.
Evidence
- HiringAccount Executive, Senior Account Executive and Strategic Account Executive (NY/LA, all posted June 26, 2026): three identical posts with the same $240k to $280k OTE (50/50). AEs "Use AI to research accounts, personalize outreach, and create assets that deliver value to your prospect's inbox"; "this isn't a pure inbound role"; "3+ years of closing experience in SaaS ecommerce or Shopify ecosystem is required"; "You'll get on a plane if that's what it takes."Source
- Your websiteHomepage H1: "Your AI Mobile App that Adapts to Every Shopper" (a year ago: "Get closer, build loyalty, elevate every interaction"). Features: Tapcart AI, For You Feed, App Studio, unlimited push, Insights Pro, Developer Tools. Case study headlines: LSKD "drives 40% of BFCM sales", BÉIS "67% higher conversion rate", Princess Polly "98.4% in-app user retention rate". The homepage has no meta description.Source
- HiringSolutions Engineer, Sales & Partnerships (posted October 12, 2026, $150k to $180k OTE): technical lead for AEs on prospect and expansion deals, "scoping what's native vs. custom"; technical discovery of a brand's stack ("Shopify plan, headless, subscription, loyalty, CDP, ESP"); "Own the external developer and agency partner onboarding process end to end - docs, environment setup, sandbox access, rules of engagement"; "You need a fully-built process handed to you. This one's yours to stand up."Source