AI Solutions Executive - Central Region

World Wide Technology; New Home (MO); On-site; USD 165,000 - 195,000; Full time

Benefits offered by this job

Health insurance

Dental & Vision insurance

401(k) with company match

Paid time off

Tuition reimbursement

Wellness program

Job summary

World Wide Technology is seeking an AI Solutions Executive to drive high‑impact, quota‑carrying AI opportunities within our enterprise accounts. You will partner with field sales to identify, qualify, and close AI opportunities, shaping multi‑phase engagements in products, infrastructure, and services.

In this role, you will build and manage a robust AI pipeline, deliver executive‑level presentations, and collaborate with partner ecosystems to accelerate demand generation and deal progression

Qualifications

• 10+ years of enterprise technology sales with quota targets.
• Experience selling product/infrastructure and consulting services.
• Ability to generate proactive pipeline with a hunter mentality.
• Bachelor's degree required.

Responsibilities

• Identify, qualify, develop, and close AI opportunities across the territory.
• Build and manage a multi‑stage AI pipeline with clear progression metrics.
• Conduct AI discovery sessions to uncover pain points and use cases.
• Lead full sales cycle from qualification to close, including proposals and negotiations.
• Develop high‑impact AI pitch decks, proposals, and business cases.
• Collaborate with regional AI pods, partner teams, and field sales to co‑sell.

Skills

Enterprise sales

Quota attainment

Hunter mentality

Partnership & collaboration

CRM proficiency

Executive presentation

Education

Bachelor's degree

Tools

CRM (Salesforce)

Job description

AI Solutions Executive

The AI Solutions Executive is a high‑impact, quota‑carrying sales role dedicated to generating, qualifying, and closing AI pipeline across WWT's existing enterprise account base within an assigned sales region. This role operates as a focused AI co‑selling resource, partnering closely with field sales teams who own the broader customer relationships to identify, develop, and win AI‑specific opportunities.

Responsibilities

• Pipeline Generation & Opportunity Development:
  • Proactively identify, qualify, develop, and close AI opportunities across the assigned territory, leveraging new and existing customer relationships in collaboration with field sales teams.
  • Build and manage a robust, multi‑stage AI pipeline with clear progression metrics from initial identification through qualification, proposal, and close.
  • Conduct account‑level AI discovery sessions to uncover customer pain points, strategic priorities, and use cases that align with WWT's AI solutions portfolio.
  • Drive opportunities through the full sales cycle—from initial qualification through solution development, proposal delivery, negotiation, and contract execution.
  • Develop and present high‑impact pitch decks, proposals, and business cases tailored to customer‑specific requirements, clearly articulating value, differentiation, and risk considerations.
  • Target both AI product/infrastructure opportunities and consulting/advisory services engagements to create multi‑phase customer AI engagements.
• POD & Cross‑Functional Collaboration:
  • Coordinate pursuits leveraging both dedicated and shared resources aligned to the AI GTM Teams (Regional AI PODs, shared resources, services teams, and field sales teams).
  • Operate as a trusted AI subject matter resource to field sales teams, embedding into account planning and strategy sessions to surface AI opportunities.
  • Build strong working relationships with field sales teams across the assigned region, earning inclusion in customer conversations and account reviews through consistent value delivery.
  • Collaborate with account teams on joint customer engagements, executive briefings, and solution presentations, complementing the field team's relationship depth with AI domain expertise.
  • Support field sellers in qualifying and positioning AI opportunities that originate from broader account activity, ensuring accurate scoping and appropriate solution alignment.
  • Serve as the connective tissue between the centralized AI GTM organization and the regional sales teams, translating enterprise AI strategy into actionable, account‑level execution.
  • 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.
• AI Partner Relationship Development:
  • Build and maintain strong working relationships with peer resources across WWT's AI partner ecosystem, including NVIDIA, hyperscale cloud providers (AWS, Azure, GCP), infrastructure OEMs (Cisco, Dell, HPE, etc.), and emerging AI solution vendors (e.g., Cognition, Anthropic, Snowflake, etc.).
  • Leverage partner resources, co‑selling programs, and joint demand generation initiatives to accelerate pipeline creation and deal progression within assigned accounts.
  • Collaborate with partner sales teams on joint customer engagements, leveraging partner technical resources, proof‑of‑concept support, and executive relationships to strengthen WWT's competitive position.
  • Stay current on partner roadmaps, certifications, incentive programs, and go‑to‑market priorities to maximize WWT's participation in partner‑funded and partner‑influenced opportunities.
  • Represent WWT at regional partner events, workshops, and joint customer activities, reinforcing WWT's position as a leading AI solutions partner.
• Customer Presentations & Solution Positioning:
  • Create and deliver compelling, executive‑quality pitch decks and proposals that communicate AI strategy, solution architecture, business value, implementation approach, and risk mitigation in clear, business‑outcome terms.
  • Maintain fluency across the AI landscape: GPU/compute infrastructure, AI platforms and frameworks, GenAI and agentic AI applications, data engineering foundations, security, AI Native Engineering, workforce AI, and industry‑specific use cases.
  • Articulate WWT's differentiated value in ways that resonate with CIO, CDO, CAIO, and line‑of‑business buyer personas. This includes ATC capabilities, services depth, partner ecosystem, and more.
  • Tailor messaging and materials to the customer's maturity level, from early‑stage AI exploration to enterprise‑scale transformation, adjusting the conversation to address both business value and responsible AI considerations.
• Operational Rigor & GTM Contribution:
  • Maintain disciplined pipeline management: accurate CRM hygiene, timely stage progression, realistic forecasting, and consistent documentation of opportunity status and next steps.
  • Participate in and contribute to cadence calls, pipeline reviews, and planning sessions to share market intelligence, competitive insights, and account‑level learnings.
  • Provide regular reporting on pipeline health, velocity, conversion rates, and revenue/gross‑profit performance against assigned quota targets.
  • Share account‑level success stories, objection‑handling frameworks, and competitive intelligence with the centralized AI GTM team to improve organization‑wide execution.

Performance Expectations

• Achievement of assigned AI revenue quota, measured across product, infrastructure, and consulting/advisory services bookings.
• Pipeline generation volume, velocity, and conversion rates against defined regional targets while growing overall account participation rates.
• Services growth aligned to AI engagements, including labs, supply chain, deployment, plus consulting and advisory services that drive multi‑phase account development.
• Field collaboration effectiveness: measured by joint pipeline generated with field account teams, inclusion in account planning, and field team satisfaction/feedback.
• Partner co‑sell activity: earn and secure deal registrations, drive joint pipeline developed with AI partner sales teams, leverage partner programs to improve profitability and win rates.
• Presentation and proposal quality: achieve high win rates on competitive opportunities where AI Solutions Executive led the customer‑facing pitch.
• Operational discipline: CRM accuracy, forecast reliability, and consistent participation in GTM operating cadences.

Required Qualifications

• Minimum 10 years of enterprise technology sales experience, with a demonstrated track record of consistently meeting or exceeding quota targets.
• Proven experience selling both product/infrastructure solutions and consulting/advisory services to enterprise customers.
• Demonstrated ability to generate pipeline proactively—not solely manage inbound opportunities—with a hunter's mentality and a track record of creating demand in complex enterprise accounts.
• Strong working knowledge of the AI landscape: ability to be conversant and credible in discussing AI solutions, platforms, tools, use cases, deployment models, value drivers, and risk considerations. This is a business‑value and consultative‑selling role, not a hands‑on technical practitioner role.
• Proven ability to create and deliver high‑impact, executive‑quality pitch decks and proposals that translate complex technology into clear business narratives.
• Experience collaborating effectively within co‑selling or specialist sales models, partnering with field account teams who are responsible for leading the primary customer relationship.
• Strong interpersonal and relationship‑building skills, with the ability to earn trust and credibility with both internal field teams and external partner organizations.
• Disciplined pipeline management skills: CRM proficiency, accurate forecasting, and commitment to operational reporting requirements.
• Bachelor's degree required.

Preferred Qualifications

• Prior experience selling AI, cloud, data, or advanced infrastructure solutions at a solutions provider, consultancy, or enterprise OEM.
• Existing relationships with AI ecosystem partners (NVIDIA, OEMs, hyperscale cloud providers, AI software vendors).
• Experience with WWT's account base, Advanced Technology Center model, or lab‑led selling methodologies.
• MBA or advanced degree in a business, technology, or analytics discipline.

Compensation

Salary range: $165,000.00 – $195,000.00 annually (base pay). Additional variable incentive compensation, such as bonuses or commissions, may also apply.

Benefits

• Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program.
• Financial Benefits: Competitive pay, Profit Sharing, 401(k) 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.