Top Remote Jobs in Charlotte, NC

The Territory Account Executive will engage local sellers in restaurants, retail, and service businesses. This role focuses on generating leads, closing deals, and building brand awareness through in-person interactions, fostering community relationships, and utilizing sales management tools. Candidates should excel in face-to-face sales, maintain customer account health, and achieve sales targets.

The Business System Analyst will work with IT and Finance teams to leverage business application capabilities of Financial Planning Services, document requirements, conduct testing, and deliver user training. Responsibilities include administering systems, creating UAT test cases, and ensuring compliance with IT Control requirements.

The Bilingual Commercial Account Executive will manage and close software license opportunities targeting the LATAM market. Responsibilities include qualifying sales leads, collaborating with solution engineers, illustrating product value, and exceeding sales quotas. Strong negotiation and communication skills in both English and Spanish are vital for engaging with clients and industry stakeholders.

As a Sales Engineer at Spectrum Enterprise, you'll leverage your technical skills to design solutions, prepare network specifications, and support the sales cycle. You'll collaborate closely with sales teams and clients to deliver tailored proposals and ensure successful project implementations. Your role will include conducting site surveys, creating technical presentations, and addressing client inquiries post-sale.

The Data Science Manager at Garner will develop care navigation algorithms and analytics while managing a team of 4-6 data scientists and analysts. This role will involve leading data science initiatives and ensuring the success of the company’s healthcare mission.

As a Sports Statistician, you will watch live sports events and report on every significant play while utilizing Genius Sports software. You will undergo training to ensure accuracy in data reporting. A strong knowledge of sports is essential, along with reliability and organizational skills.

As a Machine Learning Engineer at Peloton, you will enhance content recommendations by optimizing ML pipelines, researching best practices in ML techniques, and collaborating with cross-functional teams to run experiments and analyze data, ultimately driving member engagement.