About Safari AI
There are over a billion IP cameras installed around the world, and Safari AI's mission is to convert their video feeds in to mission-critical data, insights and real-time calls-to-action for their enterprise owners. Clients onboard their cameras to Safari AI's platform to get real-time, business-critical data like Throughput, Occupancy, Live Wait Time, Heatmapping Usage, and other metrics.
Safari AI's first vertical was serving the $64B global Theme Park industry, and is now serving 4 of the Top 10 global operators, including Merlin Entertainments (aka Legoland) and Herschend Family Entertainment; it expects to serve 7 of the top 10 by year-end. It's second vertical is the even-larger Live Sports Venues, where it is beginning to market its technology to stadiums and arenas struggling to understand which entrances, concessions, and retail outlets are operating inefficiently.
Safari AI was seed-funded with $8mm by venture capital firms General Catalyst and Initialized Capital (Garry Tan) and expects to raise its Series A in 2025.
Leadership & Culture
Safari AI is founded by a former Y Combinator founder with a meaningful exit under his belt. The company is headquartered in NYC where the Go To Market team is based and works from the office five days a week, while Engineering is distribute between North America and Brazil.
About You And How You Succeed At Safari AI
You're excited about building a product that hasn't been built before. You have a bias toward action when you are stuck but are not afraid to ask for help when you need to. You're eager to test new ways of doing things and can take advantage of the freedom an early stage startup can afford you. You are eager to engage not with enterprise clients and their customers on a daily basis.

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 industry 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. Safari AI has developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale
6. Safari AI is already the market leader in enterprise applications CV by working with industry leaders with billions in revenue

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