Top Remote Jobs in Nashville, TN

As a Cloud Data & Analytics Manager, you will assist clients in developing data strategies aligned with their business goals, manage cloud data architecture implementations, and coach team members. Your role involves analyzing complex ideas, leveraging data insights, and improving analytics solutions to enhance decision-making and drive business outcomes.

The Senior Healthcare Rep at Pfizer is responsible for launching new products and managing business relationships. They engage with customers, including Therapeutic Area Specialists and KOLs, using both virtual and in-person strategies to promote products and develop effective business plans. Key responsibilities include relationship building, leveraging digital tools, and providing education to customers to drive product demand.

As a Senior Product Manager for Grammarly's Billing team, you will define the strategy and roadmap for billing infrastructure, working closely with engineering and data science teams. Your role includes optimizing subscription growth, presenting strategic initiatives, and ensuring a high-performance billing solution meets user needs.

The Customer Support Specialist at Grammarly will provide timely and empathetic support, assist with product-related issues, maintain positive customer relations, and contribute to team efficiency. Responsibilities include troubleshooting, training, and refining customer service procedures.

The Legal Intern will work within Grammarly's Commercial Legal team, handling projects related to AI legal issues, providing support in business transactions, and collaborating with various cross-functional partners. Responsibilities include legal research, contract analysis, and developing transaction skills, alongside mentorship opportunities.

The Sales Enablement Onboarding Manager is responsible for designing and managing comprehensive onboarding programs for new sales hires. This role entails collaboration with various departments to ensure effective training, as well as ongoing support and coaching throughout the onboarding process. The manager will also track success metrics, analyze feedback, and continuously improve the onboarding experience.

The Enterprise Customer Success Manager at Monte Carlo will lead client relationships from onboarding to value realization, collaborating with account executives to ensure customer satisfaction and growth. Responsibilities include business reviews, stakeholder management, and promoting product adoption through best practices, while maintaining account health and identifying new opportunities for expansion.

The Senior Sales Analyst will drive performance management for the Amazon Sales Team at SharkNinja by creating customized data solutions, dashboards, and reports. Responsibilities include analyzing sales data, managing projections, conducting promotional analyses, and collaborating with cross-functional teams to enhance sales performance and market strategies.

The Systems Engineer will work on developing a new globally distributed compute platform at Cloudflare, focusing on CPU and GPU workloads. Responsibilities include implementing secure sandboxing for AI workloads, optimizing high throughput network data, and enhancing distributed routing control. The role requires expertise in Linux systems and network programming.

As a Systems Engineer in Compute Platform, you will work on developing a globally distributed compute platform for CPU and GPU workloads. Your responsibilities include addressing complex challenges such as secure sandboxing of workloads, managing processes and scheduling, and improving networking and routing in Linux environments.

The Systems Engineer will focus on building a new globally distributed compute platform for CPU and GPU workloads. Responsibilities include addressing complex compute challenges, networking, secure sandboxing, and working with various virtualization and scheduling technologies.

As a Lead AI Engineer, you will develop and implement scalable machine learning systems, focusing on deep learning and generative AI. Collaborate with cross-functional teams, apply software engineering principles, and refine model performance while integrating advanced ML capabilities into products.