Solutions Engineer, LATAM Deployments ? Mexico City (Hybrid) + regional travel
About us
GoFleet / ZenduIT builds the cameras, sensors, and software that help fleet operators run safer and smarter — AI-enabled dash cameras, GPS and asset tracking, and connected-fleet automation — used by fleet operators across North America and a growing LATAM footprint.
What You'll Do
Solve, then design: run real discovery, then turn it into a specific camera/asset-tracking/platform solution — not a features pitch.
Own the deployment start to finish: project plan, fulfillment, on-site install, onboarding, training, stabilization.
Build LATAM as you go: help stand up the playbook Mexico, Brazil, Colombia, and the next market will run on.
Go deep on the whole portfolio: cameras, asset tracking, indoor positioning — fast enough that customers never feel a gap.
Work across the whole company: Sales, Success, Product, Support, Fulfillment, Marketing.
Fix the system, not just the ticket: spot and build what makes the next ten deployments smoother.
What Good Looks Like ✅
Deployments go live on time,



on scope, with minimal rework
Fulfillment arrives complete and on schedule
Customers reach value fast and don't need a second walk-through
The playbook improves every quarter
Who You Are
You build the system while doing the job (must-have)
You use AI tools deliberately, with your own judgment layered on top (must-have)
You take ownership across team lines instead of waiting for a clean hand-off
You're diligent enough that nothing gets lost across a multi-country deployment
You're genuinely curious about how customer operations actually work
You'll push back on an unrealistic timeline rather than over-promise
Fluent in English and Spanish; Portuguese a strong plus
Comfortable traveling to customer sites across Mexico, Brazil, and Colombia
Compensation
Experienced Technical PM: CAD $36,000–$50,000 annually (approximately MXN $480,000–$672,000 annually / MXN $40,000–$56,000 monthly).
Junior Technic

📌 Solutions Engineer (Ciudad de México)
🏢 ZenduIT
📍 Ciudad de México