Top Remote Senior Level Jobs in Houston, TX

The Sr. Software Engineer is responsible for designing, developing, and implementing Symitar application projects, optimizing solutions in .NET, and enhancing system operational efficiencies. They will manage multiple projects, analyze business needs, identify technical solutions, and mentor team members while ensuring compliance with relevant regulations.

The Account Executive for Public Safety will develop and execute a sales strategy for SLED accounts, manage a pipeline of sales leads, and collaborate with marketing and sales teams to drive qualified leads. Responsibilities include cold calling, follow-ups, and maintaining customer data in Salesforce.com.

The Customer Success Manager will engage with Trauma Registry customers to ensure efficient product adoption and satisfaction following deployment, manage customer relationships, drive product renewal and expansion opportunities, and provide data-driven insights to enhance client workflows.

As a Senior Analytics Engineer at Lob, you will design data pipelines, develop data models, and collaborate with various teams to deliver actionable insights. You will implement analytics best practices, mentor engineering colleagues, and advocate for data governance and quality metrics, while leveraging your experience in data visualization and analytics tools.

The Sales Director will drive growth by overseeing and expanding current accounts while leading a high-performing sales team. Responsibilities include sales strategy creation, conducting business reviews, ensuring customer adoption, cross-functional collaboration, and effective utilization of sales tools. The role requires a strong background in enterprise software/SaaS sales, particularly in engineering solutions.

As a Technical Implementation Specialist, you will serve as the primary technical resource for large provider groups, leading Health System integration projects, coordinating efforts across teams, and ensuring effective onboarding and support experiences for enterprise clients while optimizing integration processes.

As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.