Golden

Golden is the future of knowledge. We are in pursuit of the most useful (complete, correct, and valuable) knowledge graph in history.

Our vision is to enable every decision to be made with reliable and complete data, whether that be sales prospecting for your CRM, learning about a newly discovered building material, or discovering which companies are adopting and applying the newest developments in A.I..

Golden is backed by the world's greatest venture capital investors and led by serial entrepreneur and angel investor Jude Gomila.

The ideal candidate for this role is in need of a challenge and can chart paths through the fog of unbounded problem space. They will be developing their projects from conception through execution and launch, owning their success metrics end-to-end.

Role

We are looking for talented back-end engineers to help construct the largest knowledge graph in history.

We’re working on these challenges:

• Data - Scaling ETL pipelines to thousands of sources, at-scale data normalization, reconciliation and disambiguation. Billions of triples with complex interactions.
• Application Backend — Python, Django: SaaS application with unique considerations of data scale, maintaining a world-class experience for any person on earth to seek knowledge rapidly and easily.
• Operations — Postgres, AWS: Maintaining a stable, secure fleet of servers.

We’re looking for someone who is comfortable working across the stack. The ideal candidate has extensive back-end experience and works with high autonomy.

Requirements & Responsibilities

• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions.
• Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems.
• Advocate for improvements to product quality, security, and performance.
• Experience owning a project from concept to production, including proposal, discussion, and execution.