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Operator; Retail

Job in Cheyenne, Laramie County, Wyoming, 82007, USA
Listing for: DataDrone Inc.
Full Time position
Listed on 2026-10-17
Job specializations:
  • Business
    CRM Systems & Management, Customer Success Management
Salary/Wage Range or Industry Benchmark: 60000 - 90000 USD Yearly USD 60000.00 90000.00 YEAR
Job Description & How to Apply Below

Data Drone builds 0-1 SaaS products and the team that ships them. No bosses, no managers — the playbook manages, the copilot tracks. Every role owns a small, defined space with extreme accountability. Small businesses sign up, activate, and start getting value without a sales call. The product does the heavy lifting. But behind the self-serve experience, someone makes sure no customer falls through the cracks.

What

You ll Do

You ll own the full retail customer lifecycle. Demos for interested prospects. Edge-case onboarding support when the self-serve flow doesn t cover it. Churn signal response when a customer is slipping. Product friction reporting when you see the same issue three times. You re the human layer on top of a well-automated system — handling the 10% that requires judgment, empathy, or a voice.

Daily

Rhythm (How You Operate)
  • Daily: scan the pipeline and health signals — demo requests through conversion, at-risk customers slipping.
  • Within 48 hours: deliver personalized demos for prospect requests.
  • Within 24 hours: respond to escalated retail churn signals.
  • Per stuck customer: handle escalated onboarding support — and log the pattern, not just the fix.
  • Monthly: surface product friction patterns to the Product Manager and flag retail customers ready to upgrade to enterprise.
Key Responsibilities
  • Deliver personalized demos within 48 hours of prospect request
  • Manage the retail pipeline — demo requests through conversion
  • Handle escalated onboarding support for self-serve customers who get stuck
  • Respond to escalated retail churn signals within 24 hours
  • Surface product friction patterns to the Product Manager monthly
  • Identify retail customers who outgrow retail and should upgrade to enterprise
  • Maintain retail playbooks (retail sales, onboarding, and success sections)
What We re Looking For
  • You  worked with self-serve SaaS customers. Not just enterprise — the high-volume, low-touch segment where automation does most of the work and you handle the exceptions.
  • You can deliver a product demo personalized to the prospect  industry in under 20 minutes.
  • You can spot patterns. When the same support issue appears 3 times, you recognize it as a system problem, not 3 separate incidents.
  • You can handle churn conversations. Not every customer should be saved. Knowing the difference — and handling both with professionalism — is the skill.
  • You maintain a CRM. Pipeline clean, every interaction logged, no prospects in limbo.
  • You communicate clearly in writing. Friction reports, demo follow-ups, churn documentation — concise and useful.
Bonus Points For
  • Experience with local business or SMB SaaS
  • Experience with CRM-automated customer journeys (you understand what the automation does so you can handle what it  n )
  • Experience with product feedback loops — translating customer support into product improvements
  • Comfort with AI copilots for demo prep and customer communication
The Mindset We Hire For
  • The automation handles 90%. You handle the 10% that matters most. The easy cases resolve themselves. The hard ones — the frustrated customer, the payment failure that needs a call, the cancellation that might be saved — that  where your value shows.
  • Every support interaction is product feedback. A customer who can  complete onboarding isn t a support ticket. They  telling you something the product failed to communicate. Fix the issue AND log the pattern.
  • Retail matters. It  not the “small” side of the business. It  the volume engine. Self-serve compounds. You re the quality layer that keeps it compounding.
  • Personalize, don t template. Different business types have different workflows. The demo, the support, the check-in — each one is specific to their business.
  • Clean cancellations have value. The reason someone leaves is data.…
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