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The Senior Software Engineer II will lead the design, development, and support of applications on the Narvar platform. Responsibilities include collaborating with engineering leaders, translating business requirements to technical solutions, and resolving complex technical issues.

As a Senior Engineering Manager, you will lead the development of scalable systems, mentor engineers, manage technical architecture, and ensure seamless delivery of product initiatives. You will balance feature delivery and operational efficiency while improving technical practices and guiding team processes.

The Senior Software Engineer II will lead the design and build of data pipelines and systems, focusing on processing large datasets and providing actionable insights. Responsibilities include developing, optimizing, and maintaining data systems, collaborating with data scientists, and improving data quality through tooling and observability pipelines.

The Staff Software Engineer will design, develop, and maintain streaming data pipelines using technologies like Apache Beam and Dataflow. This role involves optimizing APIs for large-scale databases, resolving data pipeline issues, and collaborating with cross-functional teams to create scalable solutions, all while fostering a strong ownership mindset and commitment to high-quality results.

The Senior Analyst, Operations will manage tools and analytics for the Customer Success team, overseeing customer data to improve key KPIs like churn prevention and customer satisfaction. Responsibilities include implementing customer success platforms, ensuring integration with sales and marketing tools, maintaining accurate customer data, building reports and dashboards, and providing data-driven insights to leadership.

The Enterprise Customer Success Manager at Narvar is responsible for ensuring customer health and success from go-live to renewal. This role involves engaging with clients, utilizing data insights to mitigate churn, collaborating with various teams, and contributing to team scalability through documentation and process optimization.

Lead, design, and build data pipelines and systems to store, process, and analyze large datasets. Collaborate with teams to integrate data into business processes. Maintain and optimize data systems and implement new technologies.