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Resolves customer software support cases within SLAs, troubleshoots technical issues, provides product guidance, and builds client relationships supporting renewals. Maintains knowledge base content and collaborates with Engineering, QA, and Product on complex or recurring issues. Uses AI-assisted tools and basic SQL to research solutions, escalating issues appropriately while increasing self-sufficiency over time.

Lead Tier 1 and Tier 2 technical customer support teams, coaching employees and managing service quality, staffing, workflows, and support metrics. Partner with Product, Engineering, QA, Customer Success, and Implementation to resolve recurring issues and improve the product. Develop an AI strategy for ticket triage, knowledge management, quality assurance, analytics, and workflow efficiency. Own hiring, team development, process improvement, knowledge management, and cross-functional customer outcomes.

Own the full sales cycle for RTA Fleet Management Software, conducting demos, developing fleet and government prospects, managing opportunities, closing deals, and supporting customers through their first 13 months. Responsibilities include outbound prospecting, cold calling, email and LinkedIn outreach, social selling, account-based marketing, pipeline management, customer expansion, and continuous sales improvement. The role targets $60,000 in new ARR monthly and is fully remote with occasional travel.

Lead content orchestration and distribution to grow inbound pipeline. Manage a small creative pod, run podcast/webinar-to-content engine, execute email and paid campaigns in HubSpot, optimize SEO/AEO, and hand off qualified leads to SDRs while tracking sourced revenue.

Own the design, performance, and reliability of RTA's data layer. Architect scalable database schemas, lead cloud migrations and modernization on AWS, drive performance tuning, HA/DR, data quality, security, observability, and AI-augmented workflows. Mentor engineers, set standards, and build data pipelines, lakes/warehouses, and monitoring to ensure fast, reliable, and secure data for product and analytics.