Top Tech Jobs & Startup Jobs in Charlotte, NC

Architect AI-driven solutions for Employee Experience at Airbnb. Build prototypes, integrate systems, ensure ethical design, and collaborate across teams.

Lead the Client Products & Emerging Tech team, shaping innovative product experiences and managing partnerships across engineering and design. Focus on talent recruitment and fostering an inclusive team culture while delivering impactful initiatives.

The role involves leading a team to develop and optimize ML models and systems at scale, ensuring reliability and operational excellence while collaborating across various departments. Responsibilities include hiring, coaching, and guiding technical decisions.

The Manager of Supply Acquisition oversees a team of Account Executives, developing sales strategies, tracking performance metrics, and cultivating a successful team culture to drive hotel acquisitions at Airbnb.

The Senior Software Engineer will develop impactful features on Airbnb's search product, collaborating with cross-functional teams and mentoring junior members.

The role involves developing high-performance data processing systems, collaborating across teams, and improving data infrastructure at Airbnb. It requires designing scalable data architectures and advocating for engineering quality in data operations.

As a Senior Software Engineer, you will develop solutions for improving support agent experience, focus on backend components, and collaborate with cross-functional teams.

The Staff UX Researcher will conduct quantitative and qualitative research, translating insights into strategic recommendations, and collaborate with various teams to enhance user experience.

Lead performance optimization initiatives, manage cross-team collaborations, conduct profiling and tuning of backend services, and modernize software infrastructure.

Design, build, and deploy scalable ML and AI systems for Airbnb Customer Support. Lead LLM-based solutions (fine-tuning, RAG, evaluation), collaborate cross-functionally, and drive early-stage ML initiatives to production.