Top Remote Jobs in Minneapolis, MN

The Senior Customer Experience Specialist resolves pharmacy-related issues, supports the EQUIPP® platform, collaborates with stakeholders, and enhances quality performance.

The Account Executive will manage the full-cycle sales process for small business leads, meet monthly sales goals, conduct product demos, and negotiate contracts while collaborating with various departments to ensure a smooth customer journey.

As an HR and Payroll Specialist, you will manage payroll and HR operations, ensuring compliance and efficiency across multiple countries, primarily the US and Canada. Responsibilities include processing payroll, overseeing HR administrative tasks, and managing benefits administration while maintaining legal compliance.

The role involves leading the FP&A function, managing financial planning, forecasting, ARR reporting, lender/investor reporting, and providing strategic financial insights while driving data integrity and team leadership.

The Sales Development Representative will generate qualified leads, engage prospective customers, and collaborate with teams to build a strong pipeline for sales.

The Sales Engineer will connect with clients to identify technical needs, design managed services solutions, and communicate with internal teams for effective project execution.

The Director of ECommerce will oversee online sales channels, driving growth and operational excellence while managing partnerships and strategies for Amazon and TikTok Shop.

The Staff AI Engineer will design and build AI Assistants that automate workflows, integrate enterprise tools, and ensure systems are production-grade and secure. Responsibilities include developing APIs, enhancing assistant quality, collaborating with teams, and evaluating new AI models and tools.

The Enterprise Account Executive is responsible for developing a sales strategy, generating leads, building relationships, and achieving sales targets in a high-growth organization.

As a Software & Data Engineer, you will design data pipelines, deploy AI tools, build data warehouses, and integrate systems for clients, ensuring data quality and performance.