Top Senior Level Jobs in Atlanta, GA

The role involves designing and delivering sales enablement training for Expansion Sales, aiming to improve sales performance and productivity through effective learning solutions and collaboration with cross-functional teams.

The Principal Systems Engineer will architect and implement data infrastructure, mentor engineers, and work cross-functionally to enhance data access and utility.

The Account Executive will manage enterprise accounts, drive growth through upselling, and engage C-level executives for strategic account management, focusing on complex sales and customer satisfaction.

The Data Ops Program Manager owns Agile process health and client delivery operations, ensuring data governance and improving reporting outcomes for client analytics.

The Senior Principal Software Engineer will lead architectural design for enterprise-scale initiatives, focusing on AI-driven platforms and technical leadership across teams. Responsibilities include improving customer experience, mentoring engineers, and influencing technology strategies.

Provide legal and regulatory counsel for Circle's payments products, advising on product design, licensing, AML/BSA, consumer protection, cross-jurisdictional expansion, and compliance for launches and marketing.

The VP Product Manager will lead and drive the development of a cloud-native data platform, focusing on improving data quality and operational efficiency in asset management workflows through collaboration with cross-functional teams.

The Senior Services Advisor will lead project scopes, collaborate with stakeholders, manage client expectations, and ensure project deliverables within budget and timelines in the insurance industry.

The Senior Sales Account Executive is responsible for sourcing leads, conducting prospecting calls, and closing deals in the restaurant vertical, utilizing a consultative sales approach and Salesforce to achieve sales goals.

The Senior Data Engineer designs and maintains data systems, develops data pipelines for ingestion and analysis, and optimizes data architecture to support business needs.