Rackspace Technology

Realize the full value of the cloud.

AI Solutions Sales Leader

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteTeam 5,001-10,000Since 1998H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

96 days ago

Salary

Not specified

Bachelor Degree10 yrs expEnglishAWSAzureBig QueryCloudGoogle Cloud PlatformInformatica

Job Description

• 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. • 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. • 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. • 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.

Job Requirements

  • 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.

Benefits

  • Health insurance
  • Professional development opportunities

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