Top Sales Engineer Jobs in Atlanta, GA

The Associate Director leads media planning strategies for clients, fostering team culture, managing reports, and utilizing data-driven approaches to create effective omnichannel campaigns. They maintain client relationships and emphasize strong analytical and leadership skills while training junior team members.

The macOS Engineering Team Lead will develop and drive innovations in macOS products while mentoring a team of engineers. Responsibilities include managing software development, improving cross-team communication, driving technical vision, and ensuring alignment with product goals.

Seeking a Software Engineer with skills in Java and Kafka to develop and maintain a data hub for real-time messaging in trading environments. Responsibilities include designing Kafka applications, troubleshooting, and integrating with trading platforms using Apache Flink for real-time stream processing.

The Perception Engineer will research, design, and develop algorithms for autonomous driving systems, focusing on object detection, localization, and sensor fusion. This role includes prototyping algorithms, managing project discrepancies between virtual simulations and real-world performances, collaborating on research data analysis, and contributing to hiring efforts.

The Institutional Business Development Lead is responsible for driving growth by developing relationships with institutional clients in the blockchain and cryptocurrency sectors. Key responsibilities include strategizing business development, managing client relationships, developing partnerships, and leading complex sales processes.

The Director of Development is responsible for managing the lifecycle of data center development projects, overseeing site selection, permitting, and interconnection, while ensuring projects meet timelines and budgets. They will also engage in negotiation, risk assessment, and collaborate with cross-functional teams to support project success.

As a Software Engineer focusing on backend and ML infrastructure, you'll build and maintain production pipelines for Machine Learning applications. Your responsibilities will include designing workflow orchestration systems, optimizing for scalability, and implementing techniques for managing unstructured data while contributing to product strategy.