Top Tech Jobs & Startup Jobs in Charlotte, NC

As a Staff Software Engineer, you'll develop an AI-first platform, design cloud-native APIs, and collaborate on Site Builder experiences with a focus on scalability and quality code.

Own product marketing as a senior individual contributor: define positioning and messaging for the AI platform, create sales enablement assets, run product launches end-to-end, build the PMM operating system, and translate customer and competitive insight into revenue-driving materials.

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

The Staff DevOps Engineer will design and operate infrastructure for development environments, implement quality gates, and build internal tools for observable pipelines, collaborating with teams to enhance automation and development processes.

The role involves prospecting and qualifying mid-market opportunities in real estate, reaching out to decision-makers, creating meetings for account executives, and building a sales pipeline.

As a Design Engineer, you'll enhance the design system, ensure UI quality, collaborate with designers and engineers, and build efficient workflows and tools in a remote setting.

As a Staff Analytics Engineer, you'll lead analytics architecture, ensure data quality, collaborate with stakeholders, and drive AI-powered data insights for business decision-making.

As a Staff Software Engineer, you'll lead AI-powered product delivery, shape platform architecture, and drive initiatives like advertising systems and AI-generated content.

The Staff Data Product Manager will unify agent-managed and MLS data, lead the development of AI-powered products, and create a strategic product roadmap to enhance real estate agents' success.

Lead the architecture and development of robust data pipelines and backend services for MLS data, integrating AI solutions and ensuring data quality.