About the role
Decagon is a conversational AI platform that helps major brands create personalized customer interactions across multiple channels. The company values innovation, speed, and a results-oriented approach, with a team that emphasizes collaboration and high impact. The role is based in San Francisco and involves working closely with leadership to improve business operations through data-driven insights.
The position focuses on building and maintaining data infrastructure using Python and SQL, enabling strategic decision-making across various business units. The engineer will work on parsing complex logs, ensuring data quality, and scaling data systems as the company grows. Collaboration with engineering teams to instrument new product features is a key part of the role.
Ideal candidates have over three years of experience in data roles within fast-growing environments, with strong skills in SQL, BI tools, and database design. They should be proactive, capable of handling end-to-end data projects, and comfortable working across technical and business domains. Experience with Clickhouse, CDC, and custom data connectors is a plus, along with a mindset of ownership and continuous improvement.