Jobs at World Wide Technology

Leads services sales for large financial services accounts, building client and partner relationships, identifying opportunities, developing cloud and infrastructure transformation solutions, scoping engagements, preparing proposals and statements of work, negotiating complex deals, meeting revenue targets, and transitioning awarded work to delivery teams. The role also supports cloud strategy, application migration planning, infrastructure as code, executive communication, and customer-facing project kickoffs. Travel is anticipated at approximately 20%.

Leads global financial-services sales strategy and execution for WWT’s services portfolio. Responsibilities include identifying and closing complex technology-services deals, managing and developing sales consultants, expanding services across infrastructure, applications, labs, resourcing, and consulting, cultivating client and partner relationships, coordinating sales-to-delivery transitions, and driving long-term growth strategy and thought leadership.

The AI Solutions Director manages AI POD teams, leading complex customer pursuits, ensuring pipeline growth, revenue attainment, and mentoring team members in consultative selling.

Design, architect, and build batch, real-time, and event-driven data platforms and streaming applications. Integrate monitoring and IT operations tools, create data schemas and models, mentor peers, engage in pre-sales, and provide technical leadership and documentation for enterprise data solutions.

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

Lead services sales for Life Sciences accounts in the East region: develop relationships, scope and price large-scale services engagements, prepare proposals and SOWs, negotiate with clients and suppliers, drive opportunity closure, and coordinate smooth transitions to delivery while maximizing services revenue and profitability.

Lead services strategy and growth for the Northeast SLED territory, build executive client relationships, drive services pipeline and pursuits, coordinate cross-functional teams, validate SOWs, ensure successful sales-to-delivery transitions, and support account expansion while meeting revenue and profitability targets.

Drive opportunity identification, solution and financial analysis, proposal development, pricing, and contract negotiation to close complex technology deals. Partner with engineering, architecture, and sales teams to translate technical solutions into business and financial impact, build financial models and presentations, support RFPs, and enable GTM and post-win transitions.

Lead services sales to large financial services accounts: build executive relationships, create and qualify opportunities, scope engagements, prepare proposals/SOWs, negotiate complex deals, and transition awarded work to delivery teams. Deliver cloud, DevOps, infrastructure automation, and multicloud solutions while driving services revenue and profitability. Travel ~20%.

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.

Lead enterprise sales efforts with Fortune 500 customers in the Northeast. Build C-level relationships, identify technical gaps, and sell infrastructure, multicloud, security, and digital solutions. Coordinate engineers and partners, scope opportunities, develop business cases, and close deals while supporting account planning and partner alignment.

Work on consulting teams to analyze business problems, develop data-driven and AI-enabled solutions, create visuals and documentation, present recommendations, and support implementation across client engagements.

Manage the lifecycle and success of long-term network, unified communications, and Microsoft support engagements for Fortune 500 clients. Serve as a trusted advisor and non-technical escalation point, conduct quarterly business reviews, analyze ticket and service data, identify risks and improvement opportunities, resolve issues, support account teams, promote service value, and maintain client and OEM relationships. The role is dedicated to a New York-area client, with partial on-site work and remote days.

Evaluate and develop compute technologies for an advanced technology lab. Design and build compute environments for sandboxes, proofs of concept, and lab-as-a-service engagements. Create architectural diagrams, access guides, test plans, use cases, and technical designs. Collaborate with customers, sales, partners, and internal teams; support business development and marketing initiatives; maintain OEM partnerships; and achieve certifications required for partner status.

Coordinate multiple IT infrastructure projects from initiation through implementation and closure. Track documentation, timelines, budgets, forecasts, risks, issues, scope changes, and project variances. Gather customer deliverables, support project lifecycle activities, maintain stakeholder relationships, participate in meetings, follow up on action items, and contribute to status reporting and portfolio reviews. Ensure requirements, risks, resolutions, and success criteria are documented and communicated.