Key Responsibilities
- Client Leadership & Relationship Building
- Cultivate strong, face-to-face executive relationships across IT and business units.
- Serve as a trusted advisor, guiding clients on AI/ML strategies that yield measurable business outcomes.
- Map client organizations to uncover new opportunities and expand into additional business units.
- AI/ML & Data Solution Sales
- Own end-to-end sales cycles—from lead generation and discovery to RFP/RFI responses, negotiation, and close.
- Develop and execute territory and account-specific sales strategies, including targeted AI/ML sales plays.
- Conduct deep discovery to understand complex challenges and architect sophisticated agentic AI solutions.
- Guide clients through AI/ML platform adoption and solution deployment, driving ROI and long-term value.
- Cross-Functional Collaboration
- Partner with product, industry, sales engineering, and professional services teams to create and implement custom AI/ML solutions.
- Communicate client insights to influence product roadmaps and ensure alignment with market needs.
- Maintain pipeline hygiene, track AI/ML sales performance, and leverage data to continuously refine strategy.
- Solution Development & Commercial Execution
- Develop comprehensive Statements of Work (SOWs) for custom AI/ML engagements.
- Navigate and close complex enterprise sales cycles involving multiple stakeholders.
- Provide executive-level insights that articulate the value of AI, machine learning, data platforms, and analytics solutions.
Required Qualifications
- 10+ years of overall professional experience, including 5+ years in AI, data, and analytics presales or solution selling.
- 7+ years of enterprise sales experience consistently exceeding revenue targets.
- Expertise in selling solutions leveraging one or more cloud ecosystems: Azure, AWS, GCP, including platforms such as Azure OpenAI, Bedrock, SageMaker, Vertex AI, Gemini, and related agentic AI technologies.
- Strong knowledge of modern data ecosystems including Snowflake, Databricks, BigQuery, Informatica, and cloud data warehousing concepts.
- Proven ability to architect and position AI/ML solutions tied to business outcomes.
- Experience preparing and negotiating SOWs, navigating complex procurement cycles, and managing multi-stakeholder engagements.
- Exceptional communication skills, with the ability to influence and present to C-suite executives.
- Experience in large-scale consulting, data transformation programs, and enterprise AI adoption.
- Familiarity with P&L management and operating in matrixed organizations.
Preferred Qualifications
- Experience in professional services, solution sales, or overlay sales models.
- Strong track record selling transformative AI or analytics initiatives to large enterprises.
- Certifications in AI/ML, enterprise architecture, or advanced cloud platforms.
- MS, MBA, or equivalent advanced degree.
Top Skills
What We Do
At Rackspace Technology, we accelerate the value of the cloud during every phase of digital transformation. By managing apps, data, security and multiple clouds, we are the best choice to help customers get to the cloud, innovate with new technologies and maximize their IT investments. As a recognized Gartner Magic Quadrant leader, we are uniquely positioned to close the gap between the complex reality of today and the promise of tomorrow. Passionate about customer success, we provide unbiased expertise, based on proven results, across all the leading technologies. And across every interaction worldwide, we deliver Fanatical Experience TM — the best customer service experience in the industry. Rackspace has been honored by Fortune, Forbes, Glassdoor and others as one of the best places to work.









