AI Solutions Developer, Revenue Enablement

Job Summary

The AI Solutions Developer, Revenue Enablement is responsible for designing, building, and deploying AI-powered tools and workflows that drive measurable commercial impact across global partnerships, ticketing, premium sales, marketing, retail, and venue sales. This role works cross-functionally with revenue-generating teams to translate business goals into practical AI solutions using existing platforms, APIs, automation tools, and CRM data.

Key Responsibilities

• Productize AI solutions initially created by the sales team ensuring security and scalability
• Partner with revenue generating teams to identify high-impact AI opportunities tied to revenue creation, sales productivity, and fan engagement
• Design and build AI-powered tools that support prospecting, lead research, personalization, sales enablement, proposal creation, partner reporting, and customer insights
• Translate business goals into functional AI workflows, prototypes, and production-ready solutions using approved AI platforms, APIs, and automation tools
• Integrate AI solutions with CRM systems, analytics platforms, and existing commercial tech stacks to ensure accuracy, security, and brand alignment
• Measure and report on business impact through revenue influence, productivity gains, tool adoption rates, and stakeholder feedback
• Collaborate with sales, partnerships, marketing, analytics, legal, IT, and data teams to ensure solutions meet governance, privacy, and compliance standards
• Support development of AI tools that improve the speed, quality, and personalization of revenue team output — including first drafts of partner decks, recaps, and renewal briefs
• Evaluate new AI tools, platforms, and vendors for commercial use cases and provide recommendations to leadership
• Document solutions, workflows, and best practices to support scalability and institutional knowledge
• Train departmental teams on the responsible, effective, and brand-appropriate use of AI tools developed for their workflows
• Monitor tool performance and iterate on solutions based on user feedback, adoption data, and evolving business needs
• Conduct competitive research and landscape analysis to identify emerging AI capabilities relevant to sports business and live entertainment revenue operations
• Provide cross-functional support for AI-related projects and initiatives across the broader Atlanta Hawks and State Farm Arena organization as needed
• Assist with event-day or surge-period data and reporting needs tied to revenue performance
• Support ad hoc requests from senior leadership related to AI strategy, tool demonstrations, or vendor evaluations
• And any other job duties assigned

Requirements

• Bachelor's degree in a relevant field such as Computer Science, Information Systems, Data Analytics, Business Technology, or equivalent experience
• 1–3 years of experience in AI tool development, software development, technical consulting, revenue operations, data analytics, sales operations, marketing technology, automation, or a related field
• Working knowledge of Markdown, Python, JavaScript, SQL, or similar technical tools
• Demonstrated experience using AI platforms such as Abacus.ai, ChatGPT, Claude, Gemini, Microsoft Copilot, OpenAI APIs, Anthropic APIs, or similar
• Ability to build prototypes, automations, internal apps, or API-based workflows
• Ability to bring prototypes and PoCs to a production ready status
• Strong business acumen with genuine interest in revenue generation, sales, sponsorship, marketing, or fan engagement
• Ability to communicate technical concepts clearly to non-technical commercial stakeholders
• Strong understanding of data quality, privacy, and responsible AI use principles

Preferred Qualifications

• Experience with CRM systems such as Salesforce, HubSpot, Microsoft Dynamics, KORE, or similar
• Experience with BI tools such as Tableau, Power BI, Looker, or Sigma
• Familiarity with ticketing, sponsorship, sports business, live entertainment, or venue operations
• Familiarity with RAG, Skills, prompt engineering, embeddings, AI agents, vector databases, or workflow automation tools
• Comfort working with revenue KPIs such as pipeline, conversion rate, renewal rate, average deal size, fan lifetime value, and campaign ROI