Top Tech Jobs & Startup Jobs in Atlanta, GA

The Data Engineering Lead will guide a team to build a scalable AI-ready data platform, focusing on data governance, pipeline reliability, and mentoring engineers to enhance data accessibility and usability.

The Business Development Representative is responsible for prospect outreach, lead qualification, pipeline development, scheduling meetings, and managing CRM data to support sales efforts in a SaaS healthcare compliance environment.

Lead and mentor a team to manage client accounts, drive marketplace strategies across platforms like Amazon and Walmart, ensuring client success and revenue growth.

The Presales Solutions Architect collaborates with sales to develop client solutions, producing required technical collateral and estimating project costs, particularly for AWS services.

The role involves leading the IDN growth and operations by building driver networks, overseeing compliance, and improving marketplace performance metrics. Key responsibilities include enhancing driver acquisition strategies, refining operational processes, and leveraging data for continuous improvement.

The Staff Machine Learning Engineer will lead ML initiatives, develop AI systems, optimize pipelines, and mentor team members to automate healthcare processes.

Citrine Informatics invites applicants to submit resumes for general opportunities. They review applications periodically for potential new roles in AI-driven materials and chemicals.

The Business Development Director will develop and close new business, manage client relationships, and coordinate strategic meetings in the preclinical sector.

The Customer Success Engineer will manage key US enterprise accounts by driving adoption, providing technical guidance, and facilitating solutions integration while collaborating with cross-functional teams.

The Principal Data Architect will lead the development of a data architecture strategy, ensuring data availability, consistency, and smooth integration for analytics across teams. This role requires collaboration with various stakeholders to establish standards, governance, and hands-on contributions to data modeling and platform improvements.