Related skills
ai governance enterprise deployment agent frameworks foundation models multicloud📋 Description
- Own and drive engineering productivity lift targets via cycle time, velocity, and defect reduction.
- Lead AI-driven cost reduction across IT and support.
- Audit and rationalize Rackspace AI licensing to cut duplication and spend.
- Report quarterly on quantified productivity gains tied to compensation.
- Define and launch 3–5 standardized AI sales plays by vertical/workload in 6 months.
- Translate private cloud and AI runtime capabilities into packaged GTM motions.
🎯 Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
- Advanced degree (Master's or PhD) strongly preferred.
- 15+ years of progressive tech leadership with at least 7 years in AI/cloud leadership.
- Proven track record translating AI initiatives into quantified business outcomes.
- Experience operating in or alongside managed services, cloud, or enterprise infrastructure.
- Prior P&L ownership or accountability for a business unit or product line.
🎁 Benefits
- Named a best place to work per Fortune, Forbes and Glassdoor.
- Equal employment opportunity and inclusive hiring practices.
- Opportunity to work on cutting-edge AI at a leading multicloud company.
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