Aureon
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Information Technology
Responsible for managing client relationships, driving sales performance, identifying business opportunities, and collaborating with internal teams to ensure client satisfaction.
Information Technology
Manages territory sales from prospecting and market research through presentations, proposals, negotiations, and closing. Builds client relationships, provides pre- and post-sale support, tracks pipeline activity in CRM systems, meets sales quotas, and collaborates with internal teams to deliver solutions. Requires knowledge of managed IT and telecommunications, strong communication and listening skills, problem-solving ability, CRM discipline, a valid driver’s license, and frequent vehicle travel.
Information Technology
Manage and grow high-value enterprise accounts in the telecommunications and managed services industries. Develop account plans, build C-level relationships, identify expansion opportunities, acquire new business, navigate complex sales cycles, negotiate contracts, and exceed sales quotas. Lead business reviews, maintain CRM forecasts, provide market insights, collaborate cross-functionally, and mentor junior Account Executives.
Information Technology
Provide Tier 1 technical support through inbound phone, email, and chat channels. Troubleshoot hardware, software, wireless communications, account management, billing, upgrades, online orders, and related issues. Document interactions, resolve and follow up on open tickets, educate customers, and escalate complex problems to second-level support. Participate in training, skill development, and short- and long-term project initiatives while maintaining high customer satisfaction and service quality.
Information Technology
Provides Tier 1 technical support through inbound phone, email, and chat channels. Troubleshoots hardware, software, wireless communications, account management, billing, upgrades, orders, and related customer issues. Documents interactions, resolves open issues, follows up on commitments, educates customers, escalates complex problems, and advocates for customer needs. Participates in training and short- and long-term projects while maintaining quality and customer satisfaction.
Information Technology
Processes accurate and timely customer invoices, maintains billing and accounting records, validates contracts and billing requirements, investigates discrepancies, and resolves customer inquiries. Collaborates with sales, service delivery, and internal teams while managing multiple priorities, meeting deadlines, and providing professional customer support.
Information Technology
Provides Tier 1 technical support through phone, email, and chat. Troubleshoots hardware, software, wireless communications, account management, billing, upgrades, orders, and related issues. Documents customer interactions, resolves inquiries, follows up on open issues, prepares escalations to second-level support, and participates in improvement projects. Requires strong communication, customer service, problem-solving, computer, and troubleshooting skills, along with experience in support centers, mobile communications, and transportation.
Information Technology
Leads enterprise application, integration, information, and business process architecture. Defines application roadmaps, integration patterns, APIs, data models, governance standards, modernization strategies, and secure platform designs. Partners with business and technology teams to guide system selection, workflow automation, data quality, architecture reviews, and transformation initiatives. Communicates trade-offs, facilitates cross-functional decisions, and oversees architecture from discovery through implementation and operational transition.
Information Technology
Collects, cleans, integrates, and analyzes business data; develops Power BI dashboards, reports, models, pipelines, and data quality controls. Translates business needs into analytical solutions, identifies trends and recommendations, validates results, supports migrations and modernization, and explores AI and machine learning use cases. Partners with technical and nontechnical stakeholders while documenting data lineage, assumptions, governance, privacy, and responsible AI practices.



