Top Tech Jobs & Startup Jobs in Charlotte, NC

As a QA Data Engineer, you will develop and maintain data quality dashboards, enhance data quality processes, partner with engineering and product teams to anticipate data issues, manage internal service level agreements for data quality, and support data integration challenges.

The Finance Systems Engineer will manage and support financial applications such as NetSuite and Coupa, focusing on complex configurations, integrations, and workflows. Responsibilities include responding to user issues, identifying improvement opportunities, and maintaining systems documentation.

The Account Executive will be responsible for generating new customer opportunities, managing inbound leads, delivering product demonstrations, and growing relationships in the legal industry, particularly with smaller law firms. The role involves outbound sales activities and collaboration with various teams to implement effective sales strategies.

The Enterprise Account Executive is responsible for driving revenue by identifying and closing new business opportunities, managing client relationships, and achieving sales targets. This role includes strategic account management and collaboration with internal teams to enhance customer satisfaction and contribute to business growth.

As a Sales Development Representative, you will drive business growth in the North American market by prospecting potential customers, conducting outreach via phone, email, and LinkedIn, and collaborating with Account Executives. You'll manage updates in Salesforce and continually develop your sales skills within a supportive team environment.

The Sales Director at Kochava will leverage their technical sales background to drive demand for the company's media measurement platform, focusing on app install attribution. Responsibilities include conducting sales meetings, presentations, and representing Kochava at industry events while achieving sales targets in a B2B context.

The Senior Software Engineer will design, build, and scale automated research products, collaborate with data scientists to productionize machine learning models, and enhance backend processing to manage extensive data for research projects, contributing to progressive political causes.