SVP, Chief AI Officer
Rackspace Technology
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Own and drive engineering productivity lift targets, measured through cycle time, code velocity, and defect reduction
- Lead AI-driven cost reduction initiatives across IT and support functions
- Conduct a full audit and rationalization of Rackspace's AI licensing footprint, eliminating duplicative programs and spend
- Report quarterly on quantified productivity gains with results tied directly to compensation milestones
- Define and launch 3–5 standardized AI sales plays segmented by vertical and workload within the first 6 months
- Translate Rackspace's private cloud and AI runtime capabilities into packaged go-to-market motions
- Embed AI positioning into key partner relationships including VMware, Palantir, Uniphore, and Rubrik
- Equip the Sales organization with clear AI messaging, competitive framing, and active deal support
- Establish tracking infrastructure for AI-influenced pipeline and revenue attribution
- Monitor model releases, inference economics, developer ecosystem shifts, and AI governance developments on a continuous basis
- Translate market shifts into concrete strategy adjustments within 30–60 days of identification
- Advise the CEO, marketing leadership, and Board on AI competitive positioning and narrative
- Drive AI messaging alignment across earnings communications, analyst relations, and partner narratives
- Deliver a formal competitive brief to the CEO and Board on a quarterly cadence
- Lead a lean AI Labs function with a bias toward speed and commercial relevance
- Incubate 1–2 focused, defensible IP assets per year aligned to GTM priorities
- Apply rigorous ROI discipline — kill low-return experiments quickly and reallocate resources
- Ensure Labs output directly supports customer-facing revenue strategy, not standalone research
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field required
- Advanced degree (Master's or PhD) in AI, Machine Learning, Computer Science, or related field strongly preferred
- 15+ years of progressive technology leadership, with at least 7 years in senior roles operating at the intersection of AI, cloud infrastructure, and commercial strategy
- Demonstrated track record of translating AI initiatives into quantifiable business outcomes — revenue generated, costs reduced, efficiency delivered
- Experience operating in or alongside managed services, cloud, or enterprise infrastructure businesses strongly preferred
- Prior P&L ownership or accountability for a business unit, product line, or cost center
- Deep fluency in the current AI landscape: foundation models, inference infrastructure, agent frameworks, AI governance, and enterprise deployment patterns
- Ability to operate simultaneously as strategist, operator, and commercial leader — without losing effectiveness in any mode
- Strong executive communication skills; able to advise a Board, align a sales force, and challenge an engineering team in the same week
- Financial discipline: comfortable building business cases, owning targets, and reporting results with rigor
- Partner ecosystem fluency, particularly with hyperscalers, infrastructure ISVs, and AI platform vendors
- Comfortable making decisions with incomplete information in a fast-moving market
- Earns cross-functional trust quickly; can lead without direct control
- Holds themselves and their team to high standards; ties effort to outcomes relentlessly
Benefits
- Equal employment opportunity
- Accommodation for disabilities or special needs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AIMachine LearningCloud InfrastructureData AnalysisROI DisciplineQuantitative Business OutcomesAI GovernanceInference InfrastructureFoundation ModelsAgent Frameworks
Soft Skills
Executive CommunicationStrategic ThinkingLeadershipCross-Functional TrustDecision MakingOperational EffectivenessFinancial DisciplineAdaptabilityTeam AccountabilityCommercial Leadership
Certifications
Bachelor's Degree in Computer ScienceMaster's Degree in AIPhD in AITechnical Field Certification