Top Remote Entry Level Jobs in Raleigh, NC

Lead developer relations as the company’s first DevRel hire. Create technical content, demos, examples, and projects; speak at conferences, meetups, and podcasts; build relationships with engineering teams and technical communities; gather product feedback; establish the company as a leading voice in AI-driven engineering; and grow its social following.

Own Chamelio’s global growth marketing and demand generation strategy, building a predictable enterprise pipeline engine. Lead paid, organic, account-based, event, lifecycle, content, and partner campaigns; improve funnel conversion and attribution; collaborate with sales, product, customers, and founders; and build the growth marketing team and external partner network.

Conduct inside sales for a dental surgery practice by handling patient calls, explaining services and fees, collecting insurance information, scheduling surgeries, processing financing applications, and coordinating with surgery managers. This remote call center role supports multiple markets and offices, offers hourly pay plus commissions, and requires substantial inside sales experience, strong phone and interpersonal skills, attention to detail, and teamwork.

Design the user experience for Sayge’s ecosystem, working across complex enterprise tooling and consumer-facing applications.

Lead the strategy and execution of customer experience and engagement programs, improving onboarding, retention, satisfaction, loyalty, community participation, and advocacy. Analyze customer feedback and engagement metrics, collaborate with marketing, product, and operations, and manage a customer engagement team. The role also establishes customer programs, provides insights for company strategy, and improves visibility into customer sentiment and KPIs.

Owns a roadmap for Reltio platform and IDE capabilities that reduce implementation time and complexity. Manages Reltio’s internal master data environment, improving entity coverage, matching, survivorship, governance, data quality, and agentic access. Leads a small team of analysts and implementation specialists while partnering with Engineering, Product, IT, and business stakeholders. Requires hands-on Reltio expertise, product management experience, SaaS or professional services implementation experience, and production MDM operations experience.

Supports cybersecurity pre-sales engineering through customer demos and proof-of-concept engagements. Assists product marketing with technical datasheets, white papers, blogs, videos, and collateral. Researches compliance standards, security frameworks, emerging threats, and attack vectors. Participates in product testing as the voice of the customer. The role is remote and includes training in cloud platforms, Kubernetes, security tools, programming, and security research.

Conduct KYC reviews, restricted-party screening, export-control and sanctions compliance reviews, sales opportunity assessments, and end-user due diligence. Maintain compliance records, databases, reports, dashboards, and authorization tracking. Review transactions under EAR and ITAR requirements, identify risks, resolve screening matches, support audits and training, and collaborate with Legal, Sales Operations, Finance, Procurement, and other teams while escalating higher-risk matters.

Develop and enhance ServiceNow applications for work order management, scheduling, dispatch, discovery, service mapping, and CMDB operations. Collaborate with stakeholders and technical SMEs, configure event rules, integrate ServiceNow services through REST APIs, manage MID servers, create custom discovery patterns, prevent duplicate configuration items, and configure identification rules and multi-tier service discovery across environments.

Build and deploy domain-specific AI agents and AI-native workflow systems for operating companies. Responsibilities include developing evaluation infrastructure, fine-tuning and routing frontier and open models, migrating legacy datasets, observing customer workflows, creating reusable AI engineering infrastructure and playbooks, and managing embedded AI engineers while spending approximately 90% of the time building.