Top Remote Entry Level Cybersecurity Jobs in Atlanta, GA

The Sales Development Representative will generate qualified meetings, manage lead flow, conduct discovery conversations, and mentor new hires. Responsibilities include collaborating on strategies and utilizing Salesforce.

Protect CrowdStrike intellectual property by detecting and investigating eCommerce fraud. Build and maintain Snowflake data pipelines and SQL queries, develop rules-based risk engines, leverage Python and AI/LLM tools for detection, triage incidents, communicate findings across stakeholders, and refine automated workflows to reduce fraud and onboarding vulnerabilities.

The Product Support Specialist will provide technical support, assist customers with problem-solving, assess and escalate issues, and provide follow-up to ensure resolution. They will collaborate with the team to deliver excellent customer service and contribute to product knowledge.

Seeking multiple Cybersecurity Analysts to engage in security testing and architecture design, providing technical support and compliance solutions.

At-Bay is seeking talented individuals for general insurance roles, encouraging applicants to submit their applications regardless of current openings. The company emphasizes diverse teamwork and innovative insurance solutions.

Design and develop embedded firmware for memory and SoC platforms, implement/debug software, and collaborate on system testing.

The Credit Card Sales Advisor drives sales through inbound and outbound calls, providing guidance on lending needs and managing customer relationships in a fast-paced call center environment.

Akeyless invites candidates to submit their resumes for future consideration of opportunities that match their skills, with no specific qualifications required.

Empirical is seeking individuals interested in contributing to their team, even if they don't meet all qualifications. They're focused on inclusivity and diverse applications.

Data Labelers will perform image quality assessments, ID verification, fraud evaluation, and label machine-learning data with accuracy while working independently and collaboratively to meet deadlines.