Required Qualifications:

• Minimum8 years in software engineering, developer tools sales, application platform sales, or developer relations/advocacy with a transition to commercial or client-facing roles.
• Deep understanding of modern enterprise development practices: CI/CD, DevOps, platform engineering, cloud-native development, and AI-assisted coding workflows.
• Working knowledge of NVIDIA’s developer tools and libraries: CUDA toolkit, cuDNN, TensorRT, RAPIDS, Triton, NeMo, AI Workbench. Comfortable co-selling alongside NVIDIA teams.
• Comprehensive knowledge of the enterprise coding assistant market: GitHub Copilot, Amazon Q Developer, Gemini Code Assist, Cursor, Claude Code, Windsurfand Devin, and emerging tools. Understands licensing models, enterprise deployment patterns, security/IP considerations, and productivity measurement.
• Able to translate developer productivity tools into business-outcome conversations: velocity improvements, defect reduction, developer retention, time-to-market acceleration.
• Comfortable scoping and proposing consulting engagements: application acceleration assessments, coding assistant pilots, developer productivity benchmarking.
• Bachelor’s degree in computer science, software engineering, or related field required.

Preferred Qualifications:

• Prior experience at NVIDIA, a developer tools company (GitHub, JetBrains, Atlassian), or a cloud platform provider (AWS, Azure, GCP) in a developer relations, developer advocacy, or developer-focused sales role.
• Existing relationships with enterprise development leadership (CTOs, VP Engineering) across Fortune 500 accounts.
• Experience with NVIDIA CUDA certification or equivalent GPU computing credentials.
• Background in AI/ML application development, not just infrastructure.

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $150,000.00 to $180,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

• Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
• Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
• Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement
• Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program

We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!

If you have any questions or concerns about this posting, please email taposting@wwt.com.

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Qualifications

Why WWT?

At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients.

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.

With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 15 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

What will you be doing?

The AI Development Specialist is a dedicated developer-facing engagement resource focused on two related sales motions: (1) selling coding assistant & AI Native Engineering (AINE) solutions and related services to enterprise development organizations, (2) co-selling with NVIDIA teams on accelerating enterprise applications through NVIDIA-optimized libraries, SDKs, and development tools.

AI Development Specialists are assigned to each Global Enterprise Segment division and function as shared resources across the regional PODs within that division. This role engages directly with enterprise customers’ development and engineering teams—CTOs, VP Engineering, platform engineering leads, and developer experience teams—to position WWT as a partner for developer productivity and AI-accelerated application development.

This is a specialized role that combines deep knowledge of the NVIDIA developer platform, comprehensive understanding of the enterprise coding assistant market, and consultative selling skills that translate developer productivity tools into business-outcome conversations. The role requires the ability to co-sell alongside NVIDIA and AINE partner teams, develop repeatable service packages, and work within the POD structure to connect application-layer acceleration to infrastructure and services decisions.

Responsibilities:

Coding Assistant & AINE Solutions with Services

• Position and sell coding assistant & AINE solutions: vendor evaluation (GitHub Copilot, Amazon Q Developer, Google Gemini Code Assist, Cursor, Claude Code, Windsurfand Devin), pilot design, adoption strategy, developer workflow integration, security/governance for AI-generated code, and productivity measurement.
• Work in close coordination with Global Solutions & Architecture and Service Consulting & Engineering Develop repeatable service packages: coding assistant pilot programs, developer productivity benchmarking, adoption and change management, and ROI measurement.
• Engage enterprise development teams on the full spectrum of AI-assisted development: code generation, code review, testing automation, documentation, and intelligent IDE integration.

NVIDIA Developer Platform Co-Sell

• Co-sell with NVIDIA teams on accelerating enterprise applications through NVIDIA-optimized libraries (CUDA, cuDNN, TensorRT, RAPIDS, Triton Inference Server), SDKs, and development frameworks.
• Translate NVIDIA’s developer platform value proposition into customer-specific application acceleration opportunities—identifying workloads where library optimization drives measurable performance improvement.
• Collaborate with NVIDIA-embedded SE resources on joint customer engagements, technical demonstrations, and proof-of-concept designs that showcase application acceleration.
• Stay current on NVIDIA’s developer tools roadmap: CUDA toolkit, AI Workbench, NeMo, Omniverse SDK, and emerging frameworks.

Enterprise Developer Engagement

• Engage directly with enterprise customers’ development and engineering leadership—CTOs, VP Engineering, platform engineering leads, developer experience teams—to position WWT as a developer productivity and AI-accelerated application development partner.
• Develop application acceleration assessments that identify workloads suitable for NVIDIA library optimization and quantify the performance and cost impact of acceleration.
• Contribute developer-ecosystem intelligence to the broader AI team: emerging tools, competitive dynamics, developer community trends, and customer adoption patterns.

POD & Cross-Functional Collaboration

• Operate as an integrated member of the three-person regional POD (AI Solutions Executive, AI Solutions Architect, AI Services Consultant), participating in weekly POD cadence, joint pipeline reviews, and account planning.
• Operate as a trusted AI subject matter resource to field sales teams, embedding into account planning and strategy sessions to surface workforce AIand coding assistant (AINE)
• Work alongside PODAI Solutions Architects where application-layer acceleration connects to infrastructure decisions—e.g., where library optimization drives GPU compute sizing, inference architecture, or AI Factory configuration.
• Collaborate with AI Services Consultants on engagements where coding assistant and workforce AI services are part of a broader consulting proposal.
• Develop strategy and drive customer engagement with AI Solutions Executive to identify, qualify, and close business linked to development pursuits.
• Participate in division-level pipeline reviews, contributing developer-facing opportunity intelligence to the AI Solutions Director’s operating cadence.
• Integrate with the operating rhythm and culture of the Regional sales teams to work in collaboration to set strategy and co-sell AI solutions across the territory.