Rackspace Technology
SaaS • Cloud
Rackspace Technology is a leading provider of managed cloud services, offering a comprehensive range of cloud and application solutions. The company specializes in helping businesses increase efficiency and reliability through cloud adoption, application modernization, and data solutions, leveraging technologies such as AI, machine learning, and next-gen data platforms. They offer a full suite of services including consulting, application modernization, cloud security, and multicloud strategies, tailoring solutions to meet the specific needs of sectors such as healthcare, financial services, and public utilities. Rackspace Technology is known for its expertise in navigating complex cloud environments and providing advanced managed services to optimize performance and ensure compliance.
5001 - 10000 employees
Founded 1998
☁️ SaaS
Senior Vice President, Chief AI Officer
Job not on LinkedIn
October 17
Rackspace Technology
SaaS • Cloud
Rackspace Technology is a leading provider of managed cloud services, offering a comprehensive range of cloud and application solutions. The company specializes in helping businesses increase efficiency and reliability through cloud adoption, application modernization, and data solutions, leveraging technologies such as AI, machine learning, and next-gen data platforms. They offer a full suite of services including consulting, application modernization, cloud security, and multicloud strategies, tailoring solutions to meet the specific needs of sectors such as healthcare, financial services, and public utilities. Rackspace Technology is known for its expertise in navigating complex cloud environments and providing advanced managed services to optimize performance and ensure compliance.
5001 - 10000 employees
Founded 1998
☁️ SaaS
📋 Description
• Define and execute enterprise AI strategy across internal productivity tools, customer offerings, and managed services • Operate the AI platform layer, including model management, tooling, data pipelines, guardrails, and evaluation frameworks • Drive organization-wide AI adoption through fluency programs, training, playbooks, and industry-specific solution accelerators • Establish comprehensive AI governance covering risk management, compliance, security, safety, and model lifecycle management • Own AI cost modeling and unit economics in partnership with Finance and Operations teams • Manage GPU and CPU capacity strategy to optimize performance and cost
🎯 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 • MBA or equivalent business education a plus • 12+ years of progressive technology and AI leadership experience with at least 5 years in senior executive roles • Proven track record building and scaling AI/ML platforms, products, or practices in enterprise environments • Experience driving AI strategy that delivers measurable business outcomes and revenue impact • History of establishing AI governance frameworks and responsible AI programs • Experience managing large-scale AI infrastructure, model operations, and GPU/compute resources
🏖️ Benefits
• Equal employment opportunity • Accommodation for disabilities or special needs
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