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Span is addressing the problem of context being buried under layers of meetings, tools, people, and process as teams expand, leading to stalled progress in areas like prioritization, allocation, collaboration, and management. They are building a tool to provide coherent software engineering context for humans and agents to enable ownership, autonomy, and superhuman impact.

Requirements

• You've built products with a backend or data lean, ensuring the app is prepared to scale, solving all kinds of bottlenecks and enabling Full-Stack and Front-End engineers to create delightful UI experiences.
• Experience working with Data pipelines and ETL processes, data modeling and optimization techniques.
• Experience spinning up your own projects in a cloud environment before, ensuring uptime and budget constraints are met.
• Experience integrating Large Language Models (LLMs) and understanding of prompt engineering in personal or professional projects.

Responsibilities

• Develop 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.

Other

• Passion for technology, innovation, and learning and you can prove it.