Top Remote Senior Level Jobs in Atlanta, GA

The Technology Delivery Manager at PwC is responsible for managing IT project planning, delivery, and execution using Agile methodology, overseeing development projects, and driving results through strategic project management while fostering a top-performing team environment.

The Strategic Partner Channel Manager will sell Lenovo products through the distribution channel, focusing on account management, customer service, and driving sales growth by engaging partners. The role involves lead generation, developing partner relationships, and communicating customer needs to internal teams.

The Group Product Manager at Crunchtime will lead a team to define the vision and roadmap for the product line, manage customer relationships, drive cross-functional collaboration, and mentor other product managers. The role emphasizes an analytical mindset and strong communication skills to drive product success in a fast-paced, agile environment.

The Senior Infrastructure Tooling Software Engineer will work on projects critical to Cloudflare's success, focusing on agile delivery of tools and systems for infrastructure management, including automation and capacity monitoring tools. The role requires debugging skills, API design experience, and a growth-oriented mindset in a fast-paced environment.

The Senior Project Manager will manage and execute independent engineering and technical advisory services for solar PV projects, oversee design reviews and compliance, prepare proposals, and mentor junior staff while ensuring client satisfaction and timely deliverables.

As a Senior Lead Product Manager at Ampd Energy, you will define and drive the product strategy, manage product lifecycles, create roadmaps, and oversee new product introductions. Collaboration with engineering, hardware and software teams, and program management is essential to align product goals and meet market demands, utilizing Agile and Stage Gate methodologies for efficient development.

As a Data Scientist at Monte Carlo, you will design and implement production-grade machine learning algorithms, lead ML projects, and solve complex challenges related to anomaly detection and prediction. This role requires collaboration with a team of data scientists and engineers in a fast-paced startup environment, focusing on enhancing data reliability.