Jobs at Kami

Support data engineering teams by building and maintaining data pipelines and warehouses, ensuring data quality, troubleshooting failures, writing clean code, learning modern tools, and collaborating with product, engineering, and analytics teams to deliver reliable data for reporting and analysis.

Build teacher-focused growth marketing tools and AI-powered workflows. Own projects end-to-end, develop scalable automation and content-generation systems, use data and experimentation to optimize growth, and collaborate cross-functionally with Product, Engineering, RevOps, Sales, and Marketing.

Contribute to full-stack web product development: design, implement, test, deploy features, maintain and improve functionality, fix bugs, write clean well-tested code, and collaborate with product, design, and engineering teams under mentorship.

The Revenue Operations Analyst will optimize sales processes, manage CRM systems, design performance dashboards, and facilitate collaboration between sales and marketing teams to enhance operational effectiveness.

As a Staff Software Engineer at Kami, you'll lead technical direction, mentor engineers, drive software architecture, and enhance the Kami application while collaborating with cross-functional teams.

As a Software Engineer, you will design, develop, test, and deploy features, enhance existing functionality, collaborate with teams, and incorporate user feedback.

The Marketing Operations Analyst will analyze and optimize the customer lifecycle, manage lead scoring, and enhance marketing efficiency using tools like HubSpot and BI software.

Own full sales cycle for small school and district accounts in K-12, meeting quotas through prospecting, demos, negotiations, and account expansion. Build relationships with educators and administrators, manage a high-volume pipeline, use CRM and automation for forecasting, and represent Kami at conferences (travel up to 25%).

Lead and manage the data engineering team, defining technical strategy, overseeing data infrastructure design, and ensuring data accessibility for decision-making.