Top Remote Senior Level Jobs in Kansas City, MO

Lead product management at Bridge, overseeing a global team. Set product vision and roadmap, engage with clients, support go-to-market activities, and ensure effective quarterly planning. Foster team development and communicate decisions across all organizational levels.

The MySQL DBA will manage and optimize MySQL databases, ensuring performance, security, and availability. Responsibilities include installation, monitoring, backups, disaster recovery, and collaboration with developers for query optimization.

The Senior Enterprise Account Executive will lead enterprise sales initiatives leveraging AI to enhance productivity and profitability. They'll provide high-quality sales experiences, automate CRM tasks, and focus on building trust and relationships with clients, contributing to the transformation of business through technology.

The role involves developing robust software for Windows sensors, scripting installations and upgrades, collaborating with DevOps on deployments, and resolving customer cases independently in a cybersecurity context.

The Customer Support Team Leader will lead, coach, and develop a team of customer support agents to achieve high performance in customer service. Responsibilities include providing feedback, handling escalations, setting goals, and contributing to process improvements, while ensuring customer satisfaction and operational efficiency.

The Senior Implementation Project Manager will lead the implementation of ProcessUnity's risk and compliance platform. This role involves managing client relationships, developing project plans, tracking project goals, and collaborating across various teams to ensure successful project delivery. The manager will also oversee risk mitigation and contribute to the development of best practices for future implementations.

The Data Architect at Sunnova is responsible for developing data collection, modeling, and integration strategies. This includes designing data pipelines, managing Snowflake data warehouses, and integrating data from Salesforce. The role involves optimizing data storage, ensuring data quality, and collaborating with analysts and scientists to support data-driven decision-making.