The Technical Support Specialist will provide customer support via phone and email while troubleshooting technical issues to their root cause. They will also document technical findings and assist the engineering team with software and hardware testing.
The Supply Chain Manager will oversee the end-to-end physical supply chain, including 3PL network operations, inventory management, and contract manufacturing coordination. They are responsible for maintaining inventory accuracy, managing returns, and optimizing fulfillment processes across all nodes.
The Director of Growth and Marketing Operations will lead the direct-to-consumer growth strategy, overseeing brand advertising, performance marketing, and customer acquisition. They will also manage the marketing data ecosystem, measurement infrastructure, and cross-functional processes to ensure effective decision-making and operational efficiency.
The manager will lead the development of high-impact B2B content and sales tools to support revenue growth and partner engagement. They are responsible for managing content operations, maintaining sales enablement libraries, and collaborating with cross-functional teams to ensure consistent messaging.
Develop and execute market growth strategies for Ting Data Services across multiple verticals including utilities, government, and insurance. Manage the full sales cycle from lead generation and pipeline development to contract negotiation and closing.
Manage the end-to-end delivery and implementation of Ting Data Products for institutional customers, including onboarding, launch readiness, and ongoing success. Coordinate across internal teams such as Product, Engineering, and Sales to ensure customer needs are met and issues are resolved efficiently.
Lead the strategy, roadmap, and execution of Ting's consumer products, focusing on web and mobile app experiences. Partner with marketing and engineering to scale the installed base through D2C and new distribution channels.
Drive architectural improvements to ML training frameworks and optimize fire hazard detection algorithms. Build scalable data pipelines and develop automated tooling to monitor model performance and drift.
