Jobs at World Wide Technology

Lead sales across Michigan SLED accounts as a trusted advisor: build executive relationships, develop strategic account plans, drive pipeline and close complex technology solutions (cloud, cybersecurity, data/AI, infrastructure), coordinate cross-functional resources, and run ATC briefings, workshops, and proofs-of-concept to deliver measurable outcomes.

The AI Services Consultant develops and positions AI consulting engagements, collaborates with regional teams, and scoping services, ensuring successful transitions from sales to delivery.

The AI Solutions Architect specializes in pre-sales technical solutions for AI platforms, collaborating on architectural designs, conducting customer engagements, and ensuring seamless transitions to delivery teams.

The AI Solutions Architect drives technical pre-sales engagements, designs AI solutions, coordinates POCs, and collaborates with partners to win deals.

The AI Solutions Executive will focus on generating and closing AI opportunities within enterprise accounts, collaborating with field sales teams, and managing the sales cycle from discovery to closure.

The AI Services Consultant develops and positions AI consulting engagements, collaborates across teams, and ensures service deliverables align with sales strategies.

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 Global Partner Manager at WWT manages and refines partner strategies, aligns with business goals, oversees performance, and enhances communication and training initiatives.

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.

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 Development Specialist enables enterprise development teams by selling coding assistant and AI-native engineering solutions while collaborating with NVIDIA teams to enhance application performance.

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

The AI Development Specialist engages with enterprise developer teams to sell coding assistants and AI solutions, co-sells with NVIDIA, and proposes consulting engagements, focusing on improving developer productivity and application performance.

The AI Solutions Architect drives pre-sales efforts by designing AI architectures, leading technical discovery sessions, and coordinating proof-of-concept engagements to meet customer requirements.

The AI Solutions Director oversees multiple AI POD teams, managing performance, sales strategies, and direct customer engagements to drive AI adoption and revenue growth.

The Client Executive for SLED will lead business growth by leveraging relationships within NYC government and education sectors, driving sales, and executing strategic account plans.

Support and maintain the Quality Management System (ISO 9001), develop PFMEA and Control Plans, analyze data and KPIs for continuous improvement, support audits, and lead CAPA processes. Build stakeholder relationships and document pre-launch customer requirements to ensure process quality and prevention-focused controls.

Support and maintain the Quality Management System (QMS) and ISO 9001 compliance; develop PFMEA and Control Plans; analyze data to drive continuous improvement; support audits; lead CAPA activities; collaborate with stakeholders to ensure pre-launch requirements and process controls are documented and effective.

Lead end-to-end enterprise AI adoption engagements: assess readiness, prioritize use cases, design adoption roadmaps and governance, run enablement and champion programs, measure value and ROI, set responsible-AI guardrails, and scale repeatable playbooks while advising executives and coaching teams.