Top Tech Jobs & Startup Jobs

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.

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.

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.

Own the strategy and execution of multi-channel customer enablement journeys for B2B SaaS products. Build in-app guidance, digital learning, automated emails, and live training to increase product adoption, expansion, retention, and migration success. Analyze usage telemetry and customer health data to create targeted interventions, while partnering with Product, Customer Success, Marketing, Digital CX, and Learning teams.