
Artificial Intelligence • Enterprise • Distribution
Canals is an AI-driven tool designed to enhance efficiency in distribution and order processing for sales, accounting, and procurement teams. It automates tasks like sales order entry and invoice processing, transforming customer emails into actionable quotes and orders without the need for templates. Canals is built specifically for various distribution verticals including electrical, plumbing, HVAC, and industrial sectors, helping teams save time and increase accuracy in their workflows. As users engage with the platform, the AI continues to improve its performance and adapt to specific business needs, ensuring better service for customers and vendors alike.
7 hours ago

Artificial Intelligence • Enterprise • Distribution
Canals is an AI-driven tool designed to enhance efficiency in distribution and order processing for sales, accounting, and procurement teams. It automates tasks like sales order entry and invoice processing, transforming customer emails into actionable quotes and orders without the need for templates. Canals is built specifically for various distribution verticals including electrical, plumbing, HVAC, and industrial sectors, helping teams save time and increase accuracy in their workflows. As users engage with the platform, the AI continues to improve its performance and adapt to specific business needs, ensuring better service for customers and vendors alike.
• Own core business metrics end-to-end: design, implement, test, document, and maintain them in dbt and Snowflake. • Convert ad-hoc analyses into durable, reusable warehouse artifacts rather than dashboard patches. • Implement and maintain automated data tests, monitors, and lineage; integrate them into CI. • Troubleshoot ingestion and transformation issues and ship fixes upstream (dbt/Snowflake) instead of working around problems at the edge. • Partner closely with other teams to ensure data is performant, stable, and production-ready for models. • Support product and commercial teams with analysis and insights. • Improve self-serve documentation, tools, and onboarding so others can rely on the warehouse without manual hand-holding. • Surface platform roadmap work: identify recurring needs that should become new marts, schemas, or pipelines.
• Production SQL experience (Snowflake, BigQuery, Redshift or similar) • Solid dbt experience: models, tests, macros, CI practices, and modular modeling patterns. • Proven track record of converting one-off analyses into reusable data models. • Comfortable with Python for data tasks, Git-based workflows, and CI pipelines. • Strong understanding of data lineage, monitoring, and testing best practices. • Excellent stakeholder communication, able to map business questions to repeatable data products and document assumptions. • Experience working in fast-paced teams and owning projects end-to-end.
• Health insurance • 401(k) • Paid time off • Remote work options
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