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The Salesforce Technical Solutions Engineer will support the Professional Services team by configuring Salesforce applications, implementing customer requirements, and performing deployment and system testing. The role requires collaboration with various teams and a focus on customer satisfaction during onboarding and product support.

The R&D Salesforce Deployment Engineer will develop solutions for the Dot Compliance Suite, focusing on Salesforce platform applications and Apex code, and work with CI-CD and Jenkins pipelines. This role involves collaboration with product and services teams and requires an understanding of Agile methodologies.

As a Business Development Representative at Dot Compliance, you will generate and qualify leads through outbound prospecting via phone, email, and social media. You will conduct research to understand prospects' needs, maintain CRM records, and collaborate with Account Executives to facilitate sales opportunities. Key responsibilities include meeting quarterly lead generation targets and providing market insights for strategy refinement.

The Customer Success Manager will guide Mid-Market customers through their journey with Dot Compliance, ensuring adoption and engagement while collaborating with services, support, product, and sales teams. Responsibilities include facilitating customer success through problem-solving and maintaining high standards of customer service.

The Product Designer will focus on creating user-friendly interfaces for Dot Compliance's Quality Management System on the Salesforce platform. Responsibilities include leading design processes, collaborating with teams, developing user-centered design artifacts, and ensuring high UI/UX standards. The role requires close work with stakeholders to enhance product usability and functionality through innovative design.

The Technical Support Engineer will work directly with customers to diagnose and troubleshoot technical issues, ensure customer satisfaction, provide training, and document technical knowledge. They will prioritize cases based on urgency and serve as a liaison between customers and various departments.

As a Data Engineer, you will design, develop, implement, and maintain AI Data Pipelines on AWS, build infrastructure, and develop tools for data manipulation, analysis, and visualization. You will be part of the Data Science team contributing to data-driven decision-making in a growing software company.