Jobs at Verizon

Hunt and qualify leads, acquire new SMB accounts (1-19 employees), retain and grow existing customers, consult on technology solutions (Cloud, Security, VoIP, Google platforms, SaaS), present multi-product solutions, use CRM/SFA tools to track progress, and travel within a sales territory (up to ~50%). Meet sales targets and build relationships with decision makers.

Manages carrier sourcing and network access agreements, including vendor negotiations, bidding activities, contracting frameworks, budgets, service-level agreements, and operating-partner relationships. Identifies cost optimization and contract improvement opportunities while supporting customer experience objectives. Requires sourcing expertise, strong negotiation and analytical abilities, telecommunications knowledge, and the right to work in Ireland without employment permit sponsorship.

Provides centralized 24/7 troubleshooting and operational support for Verizon’s wireless network. Responsibilities include monitoring network events, performing fault isolation and remediation, creating trouble tickets, escalating issues, communicating with internal and external customers, and supporting network availability during outages. The role includes training and development in LTE, 4G/5G, cloud, virtualization, scripting, and telecommunications technologies.

Provides application support for Verizon’s Global Supply Chain, Sourcing, and Sustainability systems. Responsibilities include analyzing business data, resolving application errors, testing fixes and releases, documenting functionality, training users, and recommending operational improvements. The role collaborates with technology teams and third-party partners to resolve functionality and interface issues.

Provides application support for Verizon’s Global Supply Chain, Sourcing, and Sustainability systems. Responsibilities include analyzing business data, resolving application errors, testing fixes and releases, documenting functionality, recommending operational improvements, and training end users. The role partners with technology teams and third-party providers to resolve system and interface issues, with preferred exposure to SAP S/4HANA, Ariba, and IBP.

Drive business sales across an assigned territory by prospecting, qualifying leads, acquiring and growing accounts, presenting integrated technology solutions, negotiating deals, and meeting revenue targets. The role requires outside sales, customer relationship management, frequent field meetings, CRM usage, and travel up to 50% within the territory.

Manage and grow SMB accounts (1-19 employees) by prospecting, qualifying leads, closing new business, and expanding existing customers. Sell integrated solutions (Cloud, Security, VoIP, Google platforms), use CRM and sales automation, and meet sales targets while traveling within an assigned territory.

Sell Verizon solutions to small businesses (1-19 employees) by prospecting, qualifying leads, retaining and growing accounts, presenting multi-product solutions (Cloud, Security, VoIP, Google platforms), using CRM and sales automation, and meeting revenue targets while traveling within an assigned territory.

Sell and manage SMB accounts (1-19 employees) by prospecting, qualifying leads, closing new business, and growing existing accounts. Recommend integrated solutions (Cloud, Security, VoIP, Google platforms), track activity in CRM, build relationships with decision-makers, and meet sales targets. Mobile role with territory travel and use of sales methodologies and AI-driven CRM tools.

Develop and grow business accounts within an assigned territory by prospecting, qualifying leads, conducting outside sales, negotiating, and presenting integrated technology solutions. The role manages customer relationships, acquires new business, expands existing accounts, tracks sales activity in CRM tools, and travels extensively for in-person client meetings. Solutions include wireless, cloud, security, ISP, VoIP, and Google platforms.

Lead the architecture of Verizon’s enterprise AI platform across five layers, defining interfaces, standards, security, governance, observability, and scalability patterns. Conduct build-versus-buy evaluations and three-year TCO modeling, develop multi-cloud strategies, and architect LLM, agentic AI, and responsible AI capabilities. Create ADRs and reference architectures, guide reviews, and influence executive and engineering stakeholders. The role requires expertise in distributed systems, Kubernetes, LLM architecture, cloud platforms, API design, enterprise security, and agent orchestration.

Architect and build Verizon’s enterprise AI control plane, integrating AI developer platforms with governance hubs. Develop APIs, CI/CD governance pipelines, security and responsible AI guardrails, agent simulation, observability telemetry, IAM, and secure routing for autonomous workflows. Collaborate with platform engineering, DevOps, DataOps, data science, and product teams to operationalize models and agents. The role requires LLM operationalization, cloud architecture, platform engineering, applied ML, Python, Kubernetes, and automated safety testing expertise.

Sell Verizon solutions to state, local, and federal government agencies. Identify customer needs, generate leads, respond to RFPs, manage pipeline and forecasts, close deals, provide onboarding/training, and maintain client relationships while using CRM and sales tools.

Provides business intelligence by researching and analyzing data, developing metrics, creating dashboards and reports, and communicating insights to support business decisions. Partners with product groups and multiple stakeholders to understand needs, manage projects, develop BI services, and recommend actions based on findings.

Leads engineering delivery for Verizon’s enterprise AI platform, including an AI Gateway and Agent Development Lifecycle. Manages 3–5 engineers, owns the roadmap, operates Kubernetes across GCP and AWS, delivers model routing and LLMOps capabilities, establishes developer SDKs and self-service onboarding, manages FinOps and platform SLAs, and drives secure, scalable agent deployment and enterprise adoption.

Build and operate Verizon’s enterprise AI platform, including model-routing services, agent SDKs, MCP integrations, evaluation pipelines, and DevSecOps automation. Own production services end to end across architecture, deployment, monitoring, reliability, incident response, and on-call operations. Develop multi-cloud Kubernetes infrastructure, APIs, token and cost management, data pipelines, canary deployments, and automated rollback systems using Python and related cloud-native technologies.

Develops and positions Verizon Frontline technology solutions for public safety and public-sector clients. Partners with sales, business development, and cross-functional teams to identify digital transformation needs, create end-to-end solution roadmaps, lead customer engagements, and communicate value propositions through presentations, proposals, white papers, and industry events. Builds executive relationships, supports sales strategy, enables 5G and private-network use cases, and informs product roadmap priorities.

Graduate QA Tester responsible for defining test scenarios and cases, executing manual and automated tests, managing defects, publishing test reports, and collaborating with developers, UAT, E2E, architects, business partners, and PMO teams. The role supports Agile delivery, applies testing techniques, uses lifecycle and DevOps tools, and contributes to automation and delivery excellence.

Manage and grow SMB accounts in a territory by prospecting, qualifying leads, closing new business, and retaining customers. Recommend integrated solutions (Cloud, Security, VoIP, Google platforms), use CRM tools to track progress, build relationships with decision makers, and meet sales targets while traveling within the assigned territory.

Leads enterprise AI/ML engineering strategy and governance, partnering with executive stakeholders, AI platform leaders, product owners, Legal, InfoSec, and Responsible AI teams. Directs Principal AI Engineers and Scientists, oversees production ML reliability and scalable data science code, and makes deployment decisions using governance frameworks, evaluation architectures, dashboards, and AI registration systems. Manages team planning and ensures compliance with corporate policies, AI safety standards, and risk frameworks.