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MaC Venture Capital
MaC Venture Capital

Tech Lead Manager, Infrastructure



Other Engineering
United States · Canada · Mexico
Posted on Friday, March 1, 2024
About Safari AI
Safari AI, formerly known as curbFlow, uses computer vision technology to convert the digital cameras of businesses & organizations into data collection machines. There are over a Billion IP cameras in the world, and Safari AI's mission is to make them much more valuable to their commercial owners. Clients connect their video to Safari AI to get real-time, business-critical data like pedestrian counts for retail, guest tracing for commercial real estate, traffic counts for DOTs and engineering firms, employee engagement at restaurants, and live wait times for amusement park rides, to name a few of our use cases.
Paying clients include Taco Bell/Yum Brands, NYC's largest 7-11 franchisee, Goodwill, Brightline, Merlin Entertainments (owner of Legoland) and JBG Smith, developer of Amazon's HQ2.
Safari AI was seed-funded with $8mm in 2018 by venture capital firms General Catalyst and Initialized Capital (Garry Tan) and expects to raise a Series A by the summer 2024.
Leadership & Culture
Safari AI is founded by a former Y Combinator founder with a meaningful exit under his belt. The company has headquarters in NYC, and a distributed engineering team with members living throughout North and South America.
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 only with the business side of the team, but with the clients and users themselves.

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


  • 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: auto-measuring physical activity at scale
2. Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market
3. No clear leader; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with)
4. The tech is 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 emerging as the market leader in auto-measuring with CV by working with customers like Merlin Entertainments, Taco Bell/Yum!, Goodwill, JBG Smith, City of Washington DC and Brightline to name a few.