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System Deployment Specialist / Manager

New York, United States
About Safari AI
The Company's vision is to Automate Action of the leading companies in the physical economy, from Entertainment, QSR's, Retail and beyond. It's using computer vision AI to Measure, Alert and provide AI-generated Recommendations at the operations of leading companies such as Merlin/Legoland, Universal Orlando, 7-11, Tanger Outlets, Manhattan Mini Storage, Charlotte Hornets, Calgary Flames, and more. In the near future, Safari AI will use this data and to suggest how its clients can optimize its SOPs to generate more revenue and create more valuable guest and staff experiences.
 
Safari AI is seed-funded by leading venture capital investors and expects to raise its Series A in 2025.
 
Leadership & Culture
Safari AI is co-founded by Ali Vahabzadeh & Kaiwen Yuan, two leaders who have meaningful exits under their belts and have managed large, high-performing Go To Market and Engineering teams. The company is headquartered in NYC where the GTM team is based and works from the office five days a week, while Engineering is distributed between North America and Brazil. 
 
About You And How You Succeed At Safari AI
You're excited about building a product and creating a market that hasn't been done before. You have a strong bias toward action when you are stuck but are not afraid to ask for help when you need to. You're high agency, and eager to test new ways of doing things, taking advantage of the freedom and culture an early stage startup can afford you. You're eager to lead the  company's engagement with category leaders in a variety of industries, solving some of their biggest challenges.

About the Role
We are in search of a tech-savvy and dedicated individual to join our Deployment team. This team is responsible for activating our new clients and upgrading existing clients as they expand locations with Safari AI's technology. The individual will be specializing in Linux environments, network, and IoT. This System Administrator and Deployment Specialist will integrate our cutting-edge computer vision system into a wide array of client infrastructures.

What you will be working on Weekly Basis

  • Linux System Administration:
    • Maintain, patch, and optimize Linux-based systems.
    • Troubleshoot system-related issues and ensure optimal performance.
  • Infrastructure as Code with Ansible:
    • Develop and maintain Ansible playbooks and roles.
    • Automate system configurations, software installations, and other administrative tasks.
  • IoT Device Management:
    • Support in deploying, configuring, and maintaining IoT devices within the network.
    • Collaborate with the IoT team to ensure secure and efficient device-to-server communications.
  • Monitoring & Alerts:
    • Use monitoring tools to oversee the health and performance of Linux systems and IoT devices.
    • Respond to alerts and collaborate on incident resolutions.
  • Documentation:
    • Craft standard operating procedures, best practices, and technical documentation related to Linux, Ansible, and IoT operations.
    • Maintain and update the IT knowledge base

Requirement for the Role

  • Graduated from a Computer Science, Information Technology, Engineering, or a related program
  • 3 years of IT or system administration related experiences
  • Solid understanding of Linux operating systems and computer hardware
  • Solid written and verbal communication skills in terms of IT or deployment projects
  • Eagerness to immerse oneself in a dynamic early stage technical environment
  • Must be local or willing to relocate to New York City area and comfortable commuting to the company's Midtown Manhattan office at least 4 days a week
  • Must be willing to travel to client sites occasionally 
  • Analytical mindset with a knack for troubleshooting and problem-solving
  • Startup Experience preferred

Why bet on Computer Vision and Safari AI? 
1. Huge opportunity hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data
2. Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet.
3. No clear industry leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with)
4. Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis
5. Developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale
6. Already the market leader in enterprise CV by working with industry leaders with billions in revenue

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