Similar Jobs
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Contingent Workforce Manager will lead GM's contingent workforce program, focusing on program adoption, compliance, operational oversight, and stakeholder collaboration, while utilizing data and technology for continuous improvement.
Top Skills:
BeelineFieldglassPower BITableauVendor Management Systems (Vms)Workday
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Group Product Manager will oversee analytics and data science in customer care, focusing on strategic opportunities and leading a technical team to optimize performance and drive insights.
Top Skills:
AIData AnalyticsData ScienceMachine LearningStatistical Modeling
_0.png)
Edtech • Information Technology • Software
The Director of Product Management leads cross-functional teams in developing product vision, strategy, and execution for a learning platform. Responsibilities include strategy creation, managing teams, and driving product success.
Top Skills:
SaaS
The SVP, Chief AI Officer is accountable for AI strategy, governance, and measurable business impact across Rackspace. This executive leader defines the enterprise AI strategy spanning internal productivity, customer offerings, and managed services while operating the AI platform layer and establishing comprehensive AI governance. Reporting to the CEO, the CAIO drives AI adoption, manages AI economics, leads partner co-innovation, and ensures responsible AI practices throughout the organization.
Office of AI Leadership
- 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
AI Strategy & Business Impact
- Own the AI platform roadmap, model portfolio, and evaluation and monitoring approaches
- Drive AI solution patterns for priority industries and embed AI capabilities into every product and service offering
- Measure and report AI value creation, including revenue impact, margin improvement, productivity gains, quality enhancements, and risk reduction
- Lead co-innovation initiatives with key technology partners and AI vendors
- Coordinate AI go-to-market strategy with Product and Sales organizations
AI Governance & Responsible AI
- Set comprehensive policies for responsible AI including ethical use, bias mitigation, and fairness
- Establish data usage policies, privacy protections, and regulatory compliance frameworks
- Define AI safety standards and incident response protocols
- Create transparency and explainability requirements for AI systems
- Monitor and enforce adherence to AI governance policies across the organization
CTO Collaboration & Platform Integration
- Ensure AI platform standards align with overall technology architecture established by the CTO
- Obtain joint approval with CTO for AI architectures that impact core platform decisions or risk posture
- Participate in quarterly technology and AI strategy reviews with integrated roadmaps
- Co-lead monthly architecture and model governance councils
- Coordinate on platform reliability, security, and cost optimization initiatives
Key Performance Indicators
- AI-attributed revenue and pipeline contribution
- AI-driven productivity improvements and cost savings
- AI adoption metrics across internal teams and customer base
- Model quality, performance, and safety scores
- AI platform reliability and uptime
- Cost per AI inference or transaction
- Compliance with AI governance policies and regulations
- Partner ecosystem engagement and co-innovation outcomes
- Customer satisfaction with AI-powered solutions
Technical Expertise
- Deep expertise in AI/ML technologies, large language models, and generative AI
- Strong understanding of AI platform architecture, MLOps, and model lifecycle management
- Knowledge of AI safety, bias mitigation, explainability, and responsible AI practices
- Familiarity with cloud infrastructure, data engineering, and modern software development practices
- Understanding of AI regulatory landscape and compliance requirements
Leadership Capabilities
- Strategic thinker who can translate AI capabilities into business value and competitive advantage
- Exceptional communication skills with the ability to educate and influence at all organizational levels
- Proven ability to drive adoption and change management across large organizations
- Experience building and leading multidisciplinary AI teams, including researchers, engineers, and data scientists
- Track record of partner management and ecosystem development
- Strong business acumen withan understanding of go-to-market and monetization strategies
Required Qualifications
- 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
#LI-DG1
"Remote postings are limited to candidates residing within the country specified in the posting location"
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
