Chief Technology Architect
1 week ago
About Starboard
Starboard is revolutionizing the virtual infrastructure of global trade by harnessing the power of AI and machine learning in a SaaS marketplace. This innovative platform aims to become the default platform for global trade, transforming the industry's complex network into a unified system.
The global shipping industry is a $2.2 trillion market, with isolated systems that don't communicate with each other. Human operators facilitate this network using legacy technology, but previous attempts to modernize have failed due to the lack of unified standards.
The rise of Large Language Models (LLMs) creates a new opportunity to automate communications among analogue systems, potentially eliminating 85% of human labor costs. With a sharp urgency to adopt AI driven technologies, this industry faces a pressing need for innovation.
Meet Our Team
We are led by experienced professionals:
- Sumeet Trehan: Ex-General Manager of Canada at Flexport ($8 billion valuation startup) and GM for Maersk India (Maersk conducts 18% of global shipping)
- Junyu Yang: Ex-Founder who recently exited an AI startup and formerly worked at LinkedIn, Nike, Square, and VSCO
- Andy Jian: Founding Engineer with experience at Google and Shakudo (a top AI startup)
Traction and Goals
We've made significant progress in just 7 months:
- Launched two products with 10 paying B2B customers
- Raised $5M funding from top-tier VCs
Your Role
We're seeking a talented individual to join our team as a Chief Technology Architect - Global Trade Infrastructure. In this role, you will:
- Deliver high-quality solutions that meet customer needs
- Work efficiently with SQL databases (Postgres preferred) and Python backend
- Contribute to launching products from scratch with user adoption
Requirements
To succeed in this position, you should possess:
- Experience working on real products powered by LLMs
- Python backend development skills
- Next.js expertise (both frontend and API)
Preferred Qualifications
A plus if you have:
- Experience launching products from 0-1 with user adoption
- Cloud infrastructure knowledge (Docker/AWS/GCP)
- Expertise in building systems handling large data sets (e.g. Spark)
- Previous experience working with engineering teams in early stages
Location and Salary
This full-time position is based in Toronto, offering a competitive salary and equity package, including bonus opportunities.
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