Jobs at World Wide Technology

Lead enterprise sales efforts for Life Sciences customers by identifying opportunities, building executive relationships, developing strategic sales plans, managing pipelines and forecasts, and delivering technical solutions. Collaborate with engineers, architects, consultants, and partners to address customer needs across AI, cloud, infrastructure, cybersecurity, and digital strategy. Serve as the primary customer contact, lead sales meetings, and manage a cross-functional team. Travel up to 25% is required.

Generate net-new pipeline and develop opportunities among Neocloud, GPU Cloud, and AI Factory data center builders. Prospect target accounts, qualify leads, conduct discovery, build relationships with technical and procurement leaders, engage NVIDIA and ecosystem partners, represent WWT at industry events, and hand qualified opportunities to sales and solution teams. Track pipeline, forecasts, and account intelligence in Salesforce while positioning WWT’s AI infrastructure hardware, integration, and services capabilities.

Leads strategic resourcing and staffing services sales for assigned enterprise accounts and regions. Responsibilities include developing opportunities, scoping engagements, preparing pricing and proposals, negotiating with clients and partners, closing new business, and transitioning awarded work into delivery. The role builds executive-level relationships, identifies client challenges, develops creative solutions, supports account teams, and drives revenue and profitability while managing engagements throughout the resource lifecycle.

The AI Services Consultant develops and positions AI consulting services, collaborates across teams, and manages client engagements to unlock AI potential and drive value through structured proposals and delivery.

The AI Services Consultant scopes and positions AI consulting engagements, collaborates with sales and delivery teams, and develops service proposals to drive AI initiatives and infrastructure investments.

The AI Solutions Executive drives AI sales by generating opportunity pipelines, implementing effective sales strategies, and collaborating with field teams to close various AI solutions.

The AI Solutions Executive generates and closes AI pipeline, collaborates with field sales, builds customer relationships, and delivers tailored presentations and proposals.

The AI Solutions Architect engages in technical pre-sales, designing AI architectures, conducting technical discovery sessions, and collaborating on proof-of-concept projects while ensuring smooth transitions to delivery teams.

Serves as a senior data center engineer delivering hands-on infrastructure projects for enterprise customers. Installs and integrates complex hardware and software systems, including VMware, storage, networking, hyper-converged infrastructure, data protection, and cloud solutions. Manages project engagements, advises customers, coordinates with internal teams, works under tight schedules, and builds customer relationships. The position may require travel up to 75% and involves mentoring less experienced personnel.

Supports quoting, order management, customer requests, product and service configurations, partner processes, promotions, and sales reporting for assigned accounts. Maintains account and OEM product knowledge, identifies upsell opportunities, and helps onboard new sales operations employees. Requires strong organization, communication, accuracy, urgency, and collaboration in a customer-facing IT sales environment.

Delivers live, virtual, onboarding, role-based, and technical training programs for Sales Operations. Manages Amplify LMS workflows, including scheduling, assignments, user administration, content tracking, reporting, testing, and troubleshooting. Develops instructor-led curricula, reference materials, evaluations, and training logistics while collaborating with subject matter experts, instructional designers, business leaders, and cross-functional teams. Supports learner development, continuous improvement, training roadmaps, and effective learning outcomes.

Senior Quality Assurance Engineer responsible for leading quality strategy across eCommerce applications. The role combines manual, automated, integration, load, performance, UI, exploratory, cross-browser, and boundary testing. Responsibilities include designing automated tests, analyzing defects, defining quality metrics, supporting production-readiness decisions, collaborating with developers and stakeholders, establishing acceptance criteria, improving testing processes, and mentoring QA engineers on automation and quality engineering practices.

Define and guide application, platform, integration, data, and enterprise architecture across lead-to-quote and delivery platforms. Lead architecture reviews, establish technical standards, design APIs and integrations, manage dependencies and technical debt, and ensure scalability, security, resilience, observability, and supportability. Translate business requirements into solution designs, guide implementation and testing, support incident response, document architecture, mentor technical teams, and influence stakeholders across engineering, product, data, security, infrastructure, and business functions.

Serves as a senior advisor and design authority for greenfield and retrofit data center facilities supporting high-density AI/HPC workloads. Advises executives on power, liquid and air cooling, floor planning, fire suppression, construction readiness, commissioning, and facility architecture. Reviews MEP designs, oversees trade partners, manages risks and quality, and translates computing requirements into facility solutions. Builds WWT’s FIT advisory practice by developing methodologies, supporting proposals, recruiting facilities architects, and leading global client engagements.

Defines and leads architecture standards for production machine learning, generative AI, LLM, and agentic systems. Establishes lifecycle management, observability, evaluation, safety, security, operational readiness, support ownership, and governance practices. Partners with engineering, product, data, security, infrastructure, and IT support teams to deliver reliable AI capabilities. Provides hands-on technical leadership, architecture reviews, documentation, mentoring, prototyping, incident support, and guidance on RAG, vector search, model gateways, prompt orchestration, and agent workflows.

Architect and deliver high-scale NVIDIA GPU compute environments for enterprise AI workloads. Lead bare-metal provisioning, cluster management, operating-system hardening, scheduler and workload configuration, monitoring, performance validation, and day-two operations. Serve as a customer-facing technical authority, supporting presales discovery, architecture, bills of materials, estimation, and client workshops. Design repeatable AI infrastructure across DGX, HGX, MGX, NVL72, and Cisco AI POD platforms.

Owns workforce enablement for Strategic Resourcing, including onboarding, operational training, process documentation, knowledge management, and live facilitation. Coordinates SR360 associate rotations, mentorship, learning objectives, progress reporting, and continuous improvement. Partners with subject-matter experts and operational leaders to translate business processes and system changes into practical training resources. Analyzes participation, feedback, employee questions, and knowledge gaps to improve readiness, adoption, and operational consistency.

Supports quoting and order management for assigned accounts, including quote responses, order processing, product information, tracking, technical configuration validation, promotions, partner registration, and reporting. Builds account and OEM product knowledge, identifies upsell opportunities, and maintains stakeholder relationships. The role also assists with onboarding sales operations employees and requires PST-hour availability and travel of less than 25%.

Develop full-stack software and database applications across legacy and modernized systems. Integrate AI capabilities using LLMs, agents, and automation; contribute to web platform quality, resiliency, and upgrades. Participate in Agile planning, development, testing, releases, demonstrations, and retrospectives. Provide post-production support, including quarterly on-call rotation, while collaborating with product teams to deliver reliable solutions supporting sales operations.

Develop and operationalize AI-native engineering tools, workflows, standards, and reference architectures across the enterprise. Research emerging technologies, build proofs of concept, integrate approved tools, and create scalable engineering patterns. Develop and deliver AI training, tutorials, documentation, presentations, and demonstrations for technical teams and executives. Support adoption through office hours, change management, stakeholder communication, troubleshooting, and feedback gathering.