Job Description
Span is looking for someone who can help with these types of example projects:
- Developing a connector for a new integration, such as BitBucket or Shortcut.
- Design and implement a unified data model for a new category of data relevant to the Software Engineering Intelligence space, such as incident management systems or monitoring systems.
- Convert data pipelines to incremental workloads to improve performance, build out event based data processing framework that scales.
- Create an AI Agent workflow backend that provides tools for LLMs to query a knowledge graph to produce reports and insights for our customers.
The ideal candidate should have built products with a backend or data lean, ensuring the app is prepared to scale, solving bottlenecks and enabling Full-Stack and Front-End engineers to create delightful UI experiences. Experience working with data pipelines, ETL processes, data modeling and optimization techniques, and high-performance data reads from external API sources is important. Having spinned up your own projects in a cloud environment before, ensuring uptime and budget constraints are met is also a plus. Experience integrating Large Language Models (LLMs) and understanding of prompt engineering in personal or professional projects, and a passion for technology, innovation, and learning are highly valued.
About Span
Span is a Series A stage startup backed by Alt Capital, Craft Ventures, SV Angel, Box Group, and dozens of founders from companies such as Slack, Rippling, and Notion.