Top Remote Jobs in Atlanta, GA

The Customer Success Manager will drive AI-led transformation for B2B clients, guiding them through digital evolution and enhancing product adoption. Responsibilities include consulting on using AI for automation, strategic architecture for business solutions, and leveraging data for growth and organizational change.

The Retail Puller is responsible for identifying products for testing, transporting them, and maintaining relationships with store associates, all while using computer programs for product research.

This role involves designing scalable data ingestion systems and building a centralized data lake on Apache Iceberg. Responsibilities include improving performance and reliability, collaborating with data engineers, and providing technical leadership.

The GTM Intern will support market research, improve CRM data integrity, assist with outbound strategies, and contribute insights for revenue decisions.

The Customer Success Manager will manage the customer lifecycle, focusing on onboarding, engagement, and renewal while ensuring customer satisfaction and product value.

Lead the web application team for IKEA Kreativ, designing features and architectures integrating 3D, AI, and cloud services.

Lead the global Customer Success Team, drive renewals and upsell initiatives, develop customer best practices, and oversee the TAM and IA teams.

The Senior Solutions Engineer will lead pre-sales technical calls, assist with onboarding and integration, and provide technical support to customers while managing product feedback.

The Automation Strategist will guide customers in automating processes, help identify use cases, and promote AI-enabled transformation, focusing on value delivery and relationship building.

As an Information Security GRC Program Manager, you will manage GRC programs, support compliance initiatives, assess risks, and improve operational efficiency while ensuring audit readiness.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

Design and build ML features using LLMs, collaborate on technical architecture, and ensure safety and performance of deployments.