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New York, NY, USA · Vancouver, BC, Canada · Vancouver, BC, Canada

Posted on Jul 25, 2024

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.

We are looking for all kinds of talents, from Individual Contributor to Tech Lead Manager.

What you will be working on regardless the roles

Primary owner of one or more Safari AI core services
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

What you must have

depth belief in our mission and strong enthusiasm in AI / data
5-8 years software individual contributor experiences
experiences in startups and enterprises
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
good understanding in best practices in software development lifecycle (SDLC) and security compliance
experts in one of the following stacks
- big data: proficient in frameworks such as Flink, Hadoop, Beam, Spark, etc.
- full stack: proficient in react / vue, and CRUD
- embedded CV: proficient in embedded CV and related framworks, such as TensorRT, Gstreamer, etc.
- AI PM: product manager leadership in AI/ML based products

Nice-to-Haves

proven experiences of building a team and mentoring skills
PhD training in computer science or similar areas
previous startup founder experiences

What we provide

Opportunity to shape an early-stage, mission-driven startup and revolutionize how Enterprises use Computer Vision
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

We are not considering any agent/agency and only matched candidates will be reached out.

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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