Architect and develop scalable, cloud-native AI/ML search services, event-driven microservices, APIs, and real-time or batch data pipelines across AWS and Azure. Set long-term technical strategies and security standards, mentor engineers, ensure compliance and maintainability, and document and audit system designs.
Lead engineering outcomes across device products, including Android-based patient engagement systems, digital signage, field operations tooling, and back-office systems. Manage and develop engineers, remain hands-on with code and technical direction, coordinate priorities across product areas, and promote AI-assisted engineering and reliable device-fleet operations.
The Inside Sales Executive manages the entire sales cycle, from prospecting and qualifying leads through outbound calling to closing new business. They are responsible for maintaining accurate sales pipelines in Salesforce and conducting customer needs analysis to drive sales improvement.
You will design and implement algorithmic pricing systems by synthesizing data on supply, demand, and willingness-to-pay to optimize business outcomes. Additionally, you will mentor junior team members and collaborate with cross-functional teams to translate complex data findings into actionable business insights.
