Verizon

Data Scientist

• drive profitable growth and business innovation through machine learning techniques
• spearhead high-impact data science projects to improve product personalization and customer experience
• work closely with data scientists, ML engineers, software developers, and business stakeholders
• architect agentic AI solutions to optimize offer personalization and automate customer queries
• develop predictive models to forecast customer behavior and business events
• oversee the end-to-end development and operational lifecycle
• lead discussions with key business leaders to align data science initiatives with business strategies
• partner with engineering teams to deploy models into production
• serve as a subject matter expert on agentic development and machine learning
• drive technical excellence through active research

Principal Data Scientist

Account Executive

• Secure the digital transformation of government
• Help customers move their businesses forward
• Create value for customers by solving their business problems
• Bring a consultative selling approach and become a specialist for customers
• Establish strong relationships with customers and evaluate industry business trends
• Craft creative solutions to help customers realize their goals
• Sell Verizon products to help customers connect better and become more efficient

Client Executive – Government Sales

• Deliver outstanding and innovative business solutions that support our technology evolution
• Identifying, developing and qualifying leads within respective territory to drive additional sales opportunities
• Gaining new business and incremental revenue to meet sales targets
• Retaining, managing and growing the existing customer base
• Coordinating with support partners to educate and excite customers about how they can leverage innovative business solutions
• Proactively establishing , building and maintaining relationships with key decision makers
• Effectively presenting and creating multi product solution opportunities
• Tracking and reporting progress through the consistent use of a variety of sales force automation tools

Business Sales Account Executive

Security Engineer

• Owning the vision, roadmap, and execution of Verizon's AI GRC team
• Ensuring AI-centric risk management processes and outcomes are established
• Performing regular reviews of AI applications for compliance and alignment
• Documenting processes for information/technology risk assessments and thresholds
• Leading the creation of automation for 80%+ of the AI risk assessment process
• Overseeing the creation of an AI compliance program and dashboard
• Facilitating an AI security training program
• Guiding the review and prioritization of AI projects
• Ensuring timely and well orchestrated Verizon Cyber Security engagement
• Serving as a trusted advisor to the business and technology stakeholders

Associate Director, AI Security Governance, Risk and Compliance

• Responsible for leading the design and implementation of processes and layouts for complex data sets
• Manage a small team of employees including planning work and dividing it among employees
• Collaborate with internal teams to determine the needs of the business
• Drive continuous improvement, leveraging the latest industry knowledge and methods on AI and data modeling

Engineer III – Data Science

Artificial Intelligence

• You will be a key hands-on contributor responsible for the implementation, testing, and maintenance of AI/ML solutions.
• Support the core strategy of transitioning from reactive, queue-based work to continuous, 24/7 autonomous network coverage.
• Responsible for developing and deploying production-grade AI driven Agents.
• Focus on data processing, feature engineering, and implementation of algorithms that detect issues, aggregate impact, and generate evidence-based insights.
• Develop and implement components of AI/ML solutions using Python and CI/CD practices.
• Contribute to building scalable and efficient AI Agents for large-scale data processing.
• Write complex queries using SQL/BigQuery to extract data and build features necessary to train models and derive business insights.
• Assist in designing and implementing AI/ML pipelines for model training and deployment.
• Collaborate effectively with team members.

Engineer III, Spec – AI Science

• Serve as the technical authority and hands-on leader in designing, building, and scaling next-generation Agentic AI solutions for autonomous network operations.
• Be instrumental in the technical implementation of the core "AI brain" framework, working across the five-layer architecture of autonomous agents designed for continuous coverage: detection, aggregation, synthesis, investigation, and recommendation.
• Drive the core technical efforts in Agentic Workflow Orchestration, including designing robust agent-to-agent communication patterns and structuring the overall task flow.
• Lead the engineering and optimization of Large Language Model (LLM) components through advanced Prompt Engineering, Fine-tuning, and Context Engineering (RAG pipelines).
• Design and deliver high-precision Retrieval Augmented Generation (RAG) systems using vector databases and semantic search to ground models in enterprise data.

Principal Engineer – AI Science

Business Intelligence Analyst

• Drive business transformation efforts by helping explain complex analysis and insights to stakeholders.
• Create a single source of truth for business performance and diagnostics.
• Create reports and visualizations in support of strategic business efforts.
• Collaborate with various teams to create a roadmap for Data Analytics & Reporting.
• Serve as a subject matter expert for data.
• Lead engagements with key stakeholders.

Business Intelligence Manager

• Develop mission- and business-critical applications and Agentic solutions
• Enhance customer experience and build world-class solutions
• Work as a team member on various projects and mentor junior resources
• Develop, implement and maintain important applications
• Design, develop and maintain applications and databases by evaluating client needs
• Execute full software development life cycle (SDLC) – concept, design, build, deploy, test, release and support
• Act independently while collaborating within and between various teams
• Build reusable code and libraries for future use in front end and back end technologies
• Mentor junior developers in the team

Engr III Consultant – AI/ML Engineering

Operations

• Execute projects with a broad scope and impact
• Lead key initiatives focused on growth and retention efforts within the Public Sector organization
• Serve as a critical link between technical teams, finance, marketing, and Public Sector sales
• Create an environment that promotes collaboration, teamwork, and accountability
• Analyze sales data to drive accurate forecasting, funnel management, and operational efficiency
• Manage multiple projects through the full execution lifecycle
• Translate concepts into actionable plans for execution

Senior Manager, Sales Operations & Enablement

Sales

• Generate retail sales by using your passion for cutting-edge technology, and exceptional customer service to expand the Verizon network
• Learn and uncover customers' needs by creating connections and asking the right questions
• Position product insights and solution recommendations to provide customers with a complete top-down sales solution
• Close sales by using phenomenal communication skills to fulfill customer needs with simple and intuitive tech solutions
• Continuously develop yourself through ongoing training and up-skill in operational functions across merchandising and inventory
• Potential to grow your customer base by placing outbound calls and sending text messages to current Verizon customers who are interested in our products and services
• Opportunities to engage with the community outside of the store to expand your loyal customer base, including at off-site Verizon sponsored events

Retail Sales Associate, Spanish Bilingual

AI Engineer

• work to design, deploy, and optimize Generative AI solutions
• build agentic workflows and RAG systems
• apply latest advancements in Foundation Models to create AI-native tools
• build and refine LLM-powered features and autonomous agents
• design and implement RAG pipelines to connect proprietary data with LLMs
• explore and eliminate GTM friction points by rapid prototyping AI solutions
• integrate AI workflows into modern sales stack (e.g., Salesforce, Gong)
• develop and maintain production-grade infrastructure for AI orchestration

AI Engineer – Go To Market

• Lead a specialized team of contracted engineers to move beyond basic analytics and build agentic workflows and RAG systems
• Architect and deploy Generative AI solutions that eliminate friction in our Go-To-Market (GTM) engine
• Drive the strategy of the AI engineering technical team and manage its execution
• Provide support and guidance to teammates, fostering a culture of technical excellence
• Run internal workshops, drive EnGRAM approvals, create Gemini Gems and agent instruction files
• Own the whole lifecycle of the AI-powered solutions, from build to deployment to performance and cost monitoring
• Constantly review and refine system performance for scalability and cost effectiveness
• Use tools to rapidly prototype AI-native tools that eliminate friction in the sales journey

AI Go To Market Leader

Security Operations

• Perform day-to-day operations for TMC’s Security Operation Center (SOC)
• Monitor security alerts from different technologies to identify security incidents
• Assess potential cyber threats from various workflows and perform appropriate responses
• Analyze security, cloud, and application security risks
• Provide support for high profile security incidents
• Ensure case management and alert development life cycles are followed
• Collaborate on efforts to enhance monitoring capabilities of critical data

SOC Analyst

Account Manager

• working side-by-side with agent and third party retail partners to grow customer base in small to medium business marketplace
• develop and create sales and marketing strategies along with targeted incentive programs to drive sales and profitability
• assess performance of each agent and retailer and develop a tailored plan to improve productivity to help them meet targets
• enhancing agent capabilities and performance through product knowledge and skills
• evaluating agent and overall channel sales performance for continuous improvement
• developing, implementing and monitoring regional sales and incentive programs
• communicating sales program results and effectiveness
• motivating indirect agents to exceed sales
• providing feedback on sales techniques and customer interactions