Qualifications:- Minimum 12 years of enterprise technology sales experience, including demonstrated success in quota-carrying roles with consistent attainment or overachievement.
- Minimum 3 years of sales management or team leadership experience, with direct accountability for the performance of quota-carrying sales professionals.
- Proven track record of building and developing high-performing sales teams, with specific experience coaching pipeline generation, consultative selling, and co-selling behaviors.
- Demonstrated ability to run a structured sales operating cadence: pipeline reviews, forecast calls, deal-stage governance, and performance management rhythms that drive consistent execution.
- Sufficient AI domain fluency to coach POD members credibly, engage confidently in customer conversations, and make informed decisions about resource deployment into specific opportunities. AI literacy is non-negotiable.
- Experience managing within a co-selling or specialist sales model, partnering effectively with field account teams who own the primary customer relationship.
- Demonstrated ability to engage personally and credibly at the IT and LOB executive level, including executive customer conversations and high-stakes proposal presentations.
- Strong interpersonal and organizational leadership skills, with the ability to influence and align cross-functional resources - shared specialists, OEM partners, and field sales leaders - who do not report directly into the role.
- Bachelor's degree required.
- Preferred: Prior experience managing AI, cloud, data, or advanced infrastructure-focused sales teams at a solutions provider, consultancy, or enterprise OEM.
- Preferred: Existing relationships with AI ecosystem partners - NVIDIA, hyperscale cloud providers, AI infrastructure OEMs, and emerging AI software vendors.
- Preferred: Familiarity with WWT's account base, Advanced Technology Center model, or lab-led selling methodologies.
- Preferred: Experience building or scaling specialist sales team models within large enterprise sales organizations.
- Preferred: MBA or advanced degree in business, technology, or a related discipline.
Want to learn more about Enterprise AI Strategy & GTM Execution? Check us out on our platform: https://www.wwt.com/all-categories/artificial-intelligence
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 $185,00 - $225,000 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 and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental 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!
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What is the Enterprise AI Strategy & GTM Execution team?WWT's Enterprise AI Strategy & GTM Execution team is at the center of WWT's AI transformation, responsible for leading the company's go-to-market motion across the full AI solution stack - from infrastructure and platforms to consulting, advisory, and managed services. As part of this team, the AI Solutions Director plays a critical leadership role, owning the performance of 2-3 AI POD teams and serving as the primary bridge between WWT's enterprise AI capabilities and the customers who need them most. This is a rare opportunity to lead a purpose-built AI sales organization at one of the world's leading technology solutions providers, with the backing of WWT's Advanced Technology Center, world-class OEM partnerships, and a culture built on collaboration, accountability, and innovation.
What will you be doing?The AI Solutions Director is WWT's frontline AI leadership role, responsible for guiding and managing 2-3 AI POD teams within an assigned business unit. Reporting directly to the SVP of Enterprise AI Strategy & GTM Execution, this is a player-coach position that balances team leadership with direct personal engagement in the most complex, high-value customer pursuits. Each AI POD is composed of three dedicated roles - an AI Solutions Executive, an AI Solutions Architect, and an AI Services Consultant - working in concert to generate pipeline, win opportunities, and drive AI adoption across WWT's enterprise account base. The AI Solutions Director owns overall POD performance including pipeline health, forecast accuracy, margin attainment, and revenue growth across all assigned PODs.
Responsibilities:- Lead and manage 2-3 AI PODs within the assigned business unit with direct accountability for team performance, including pipeline growth, win rates, revenue attainment, and margin targets.
- Set clear performance expectations for AI Solutions Executives, Solutions Architects, and Services Consultants; provide ongoing coaching, feedback, and development support to build a high-performing team.
- Run a structured weekly AI GTM operating cadence across all PODs: pipeline reviews, deal stage progression, resource allocation decisions, and forecast submissions.
- Maintain rigorous pipeline governance standards: accurate CRM hygiene, realistic stage-gating, clear next-step accountability, and consistent documentation of deal health and risk factors.
- Engage directly and personally in the most strategic customer pursuits within the assigned business unit, leading IT and line-of-business executive conversations for complex, multi-stakeholder engagements.
- Lead or co-lead executive briefings, AI strategy sessions, and high-stakes proposal presentations where customer relationships or deal sizes require Director-level involvement.
- Coordinate the deployment of shared resources - Industry Advisors, AI Development Specialists, Executive Advisors, and SC&E teams - into POD-level pursuits based on account complexity, vertical alignment, and deal stage.
- Partner with OEM-embedded resources from NVIDIA, Dell, Cisco, HPE, and AI Native Engineering partners on BU-level joint pipeline planning, co-sell execution, and partner program utilization.
- Work closely with Regional Sales, Engineering, and Services leadership to ensure AI POD resources are fully integrated into regional account planning, territory strategy, and field sales team activities.
- Build strong, trust-based working relationships with Regional Vice Presidents and senior field managers, establishing the AI POD as a valued resource that field teams actively leverage in opportunities.
- Foster a collaborative, accountable, and high-energy POD culture where team members support one another, share intelligence, and consistently execute with discipline.
- Partner with HR and talent acquisition to support hiring decisions for POD roles, ensuring new team members meet the skill and culture standards required to contribute quickly.
