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.
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 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
