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Develops persuasive presentation materials for sales and presale initiatives, incorporating animation, audio, and video. Leads creative development, internal preparation, oral coaching, stakeholder collaboration, and post-presentation debriefs. The role requires strategic storytelling, project management, customer value messaging, and strong presentation design skills to improve finalist outcomes.

Supports SMB sales teams by providing technical consultation, designing and presenting wireless solutions, analyzing network coverage, and assisting with in-building coverage requests. Maintains expertise in wireless devices, network technologies, and value-added solutions. Participates in customer meetings, site visits, technical presentations, account planning, and deal strategy across the Philadelphia and Baltimore markets. The role requires B2B sales experience, telecommunications or network-related knowledge, and periodic territory travel.

Design, implement, test, and deploy scalable billing platform software. Contribute to system design, mentor teammates, evaluate technologies, document designs and code, and deliver high-availability solutions integrating microservices, event-driven architectures, and AI tools.

Lead strategy, roadmap and adoption for T-Mobile's AI-powered Enterprise Operating Plan (EOP). Partner with enterprise functions, P&Ls, Data COE and FP&A to translate needs into prioritized development, manage cross-functional execution, oversee change management and onboarding, and communicate progress and strategic vision to executives.

Prospect for and acquire SMB customers through cold calling, networking, and lead generation across an assigned territory. Identify customer needs, recommend tailored wireless solutions, develop proposals, negotiate agreements, and close deals. Maintain and grow the customer base while managing the sales funnel, forecasting, reporting activities, attending training, and meeting or exceeding monthly sales targets.

Supports platform engineering by developing, testing, deploying, and maintaining Java-based software applications and cloud-native platform services. Contributes to Kubernetes deployments, microservices, distributed systems, automation, AI-driven workflows, search and caching technologies, monitoring, troubleshooting, and performance optimization. Collaborates with engineering and data teams, documents technical solutions, and helps modernize scalable, highly available platforms under senior engineer guidance.

Acquire new small and medium-sized business accounts through prospecting, cold calling, networking, lead generation, and referrals. Sell T-Mobile wireless products and services using solution-based selling, analyze customer needs, tailor recommendations, negotiate, and close deals. Manage sales funnels, use sales automation tools, report sales activity and forecasts, and participate in training and sales meetings.

Develop and maintain scalable data pipelines, analytics tools, and data infrastructure using SQL and cloud technologies. Prepare datasets, build analytics components, automate data processes, improve system performance, conduct root cause analysis, and collaborate with stakeholders and data experts to resolve technical issues and support analytics and data science workflows.

Manage high-volume proposal responses for T-Mobile’s business and government markets. Lead each response as a project, prioritize strategic opportunities, customize boilerplate content using proposal automation tools, and ensure compliant, persuasive customer narratives. Collaborate across departments, coach sales teams on proposal writing and methodologies, monitor industry and competitive trends, and improve proposal processes, technologies, and efficiencies.

Develop and maintain scalable data pipeline architecture, analytical tools, and data-processing infrastructure. Prepare datasets, build analytics components, automate manual tasks, optimize data delivery systems, and improve scalability and performance. Collaborate with stakeholders and data specialists to resolve technical issues, support infrastructure needs, and enable analytics and data science workflows.