Top Remote Entry Level Jobs in Raleigh, NC

The Customer Success Manager will manage client accounts, drive user adoption, act as an advisor, and meet retention KPIs. Responsibilities include relationship building and strategic planning to mitigate churn and promote client success.

The Cloud Technical Support Engineer - Co-op aids enterprise customers with application integration, supports deployment, engages with engineers on service enhancement, and assists in diagnosing issues related to Wasabi's cloud storage.

The Implementation Specialist supports the delivery of a Transportation Management System, focusing on configuration, data migration, testing, and client collaboration to ensure successful implementation.

Liberty Mutual's Spark Summit is a two-day virtual program for college freshmen and sophomores, offering skill building, technical interview preparation, mentorship, and access to internship interviews.

As a Software Engineer I, you'll contribute to the Home and Search Experience team at Affirm, collaborating on backend systems and APIs, ensuring quality code, and driving user engagement initiatives.

Join Zapier's GTM team, contributing to sales and automation strategies while leveraging AI tools to build playbooks and foster growth.

The Customer Support Specialist will troubleshoot customer issues, manage support requests, educate clients, and improve internal processes while collaborating with various teams.

Drive new customer acquisition and revenue growth as part of the Outbound Sales Development team. Collaborate with cross-functional teams to build a strong sales pipeline and understand customer needs in the ASR space.

Support day-to-day operations of the Setup Sessions program by managing databases, running workflows for onboarding and payouts, and streamlining processes using Notion AI.

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.