Opportunity Hire, ex-founder/founding engineer
We always welcome unicorn engineering talents to join us!
This opportunity hire is specifically for ex-founder or ex-founding engineer!
What you must have
- previous startup founding team (founder or founding engineer) experiences
- previous big enterprise experiences
- depth knowledge in modern AI and data engineering
- at least 5-8 years software individual contributor experiences
- proficiency in cloud infrastructure
- proven record of leadership on 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
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.
Please provide your Linkedin and github link.
Why bet on Computer Vision and Safari AI?
- Huge opportunity hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data
- Already the market leader in enterprise CV by working with industry leaders with billions in revenue
- Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet.
- Early leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with)
- Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis
- Developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale