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Tech Lead Manager, Infrastructure
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.
What you will be working on
- Primary owner of Safari AI infrastructure including key frontend and backend services
- Build, grow and mentor the infrastructure team
- Practice engineering best practices for system design, coding, documentation and communication
- Work closely with engineering team members and operation team to identify new priorities and communicate it well
- Contribute to engineering development process improvements
- Set technical direction for both backend and frontend stacks
Requirement for the Role
- 8 years software individual contributor experiences
- 3 years management experiences
- proficiency in at least one of the following large scale server programming languages: Java/Go/Scala/NodeJS
- proficiency in at least one of the following public cloud: AWS/GCP/Azure
- proven record of building a complex service from scratch to production
- experiences in delivering incremental features and maintaining reliabilities of a production service
- familiar with container technology including docker and kubernetes
- familiar with one or more big data frameworks such as Flink, Hadoop, Beam, Spark, etc.
- experiences in startups
- familiar with one of modern frontend frameworks: React/Angular/Vue
- proven experiences of building a team and mentoring skills
Nice-to-Haves
- experiences in machine learning
- experience working at an early-stage startup
- PhD training in computer science or similar areas
- experiences in compliance, such as SOC2
What we provide
- Opportunity to shape an early-stage, mission-driven startup and revolutionize how Enterprises use Computer Vision
- Live anywhere you want in North America - Speed matters to Scale, so we were founded as a distributed team well before Covid!!!
- Professional growth at a fast-growing, venture-funded start up with a proven founder and leadership team
- Competitive salary and meaningful equity for early team members
- Unlimited vacation days
- Generous health benefits (Health, Vision, Dental)
- 401k for US team members
- Brand new, top of the line hardware and whatever else you need to help you win
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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