Director of AI Enablement
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iHeartMedia
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The World's Largest Broadcast Software Provider.
RCS Worldwide is home to four industry-defining brands: RCS, Media Monitors, Mediabase, and Florical Systems — serving the broadcast, music, and media intelligence markets across 120 countries. Every day, thousands of radio and television stations around the world rely on RCS technology to stay on air, sound great, and compete in a rapidly changing landscape.
Here is what makes us different
We are the company behind the scenes of media that billions of people consume every day. When a song plays on your favorite radio station, when a song charts in the music industry, when a TV network stays on air without a second of downtime — there is a good chance RCS technology played a role. Our portfolio touches every corner of the media ecosystem, from playout and music scheduling to international advertising intelligence and airplay analytics.
We are a global team passionate about the industry we serve and moving with the speed and ambition to lead it forward.
If this opportunity excites you, but your experience doesn't align perfectly with every qualification, we encourage you to apply. At RCS Worldwide, we know that great talent comes from many different backgrounds and experiences. We're committed to building an inclusive, collaborative workplace where people can grow, contribute, and make a meaningful impact.
What We Need
RCS, an iHeartMedia company, is a trusted global leader in broadcast technology, providing software solutions used by radio broadcasters, streaming platforms, and media companies around the world. Serving both external customers and the evolving needs of the audio industry, RCS combines the agility of a technology company with the scale and expertise of iHeartMedia.
We're seeking a Director of AI Enablement to drive our AI vision and help bring innovative capabilities to our SaaS and on-premise product portfolio. This leader identifies opportunities to leverage Generative AI, Agentic AI, Model Context Protocol (MCP), Large Language Models (LLMs), and emerging AI technologies to create differentiated customer value and accelerate business growth.
Working across Product Management, Engineering, Customer Success, Sales, and Executive Leadership, this role develops AI strategy, prioritizes investments, and drives adoption of AI capabilities that improve customer workflows, automate operations, and unlock new revenue opportunities.
This position is both strategic and highly technical, requiring a deep understanding of modern AI architectures, enterprise software, APIs, orchestration frameworks, and product management.
What You'll Do
AI Product Strategy
Develop and own the company's AI product roadmap.
Identify opportunities to embed AI across existing products and new offerings.
Evaluate emerging AI t
echnologies and recommend strategic investments.
Define AI product principles, governance, and long-term platform direction.
Create business cases for AI initiatives, including ROI, pricing, and commercialization strategies.
Agentic AI & Automation
Define strategy for agent-based workflows and autonomous business processes.
Identify use cases where AI agents can automate customer and internal workflows.
Establish standards for agent orchestration, memory, planning, and tool usage.
Evaluate commercial and open-source agent frameworks.
AI Integrations & MCP Strategy
Define the company's approach to AI interoperability using standards such as Model Context Protocol (MCP).
Identify opportunities for AI integrations with customers' enterprise systems.
Partner with engineering to build reusable AI connectors and integration frameworks.
Establish strategies for exposing company products as AI-capable services and tools.
Product Leadership
Partner with Product Managers to prioritize AI capabilities across the portfolio.
Translate customer problems into AI-enabled product features.
Balance innovation with practical customer value and product reliability.
Develop multi-year AI product roadmaps aligned with corporate strategy.
Cross-Functional Leadership
Work closely with Engineering to define technical direction and architecture.
Partner with Sales and Marketing on AI positioning and go-to-market strategy.
Support Customer Success in identifying AI adoption opportunities.
Present AI strategy and roadmap to executive leadership and customers.
What You'll Need
8+ years in Product Management, Product Strategy, or Technical Product Leadership. The emphasis that this is a practical, product focused position cannot be understated.
Experience delivering enterprise software products.
Strong understanding of modern AI technologies including
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Agentic AI
Prompt engineering
Vector databases
AI orchestration frameworks
Experience with Model Context Protocol (MCP).
Experience with AI platforms such as OpenAI, Anthropic, Google Gemini, Azure AI, or AWS Bedrock.
Experience working with APIs, SDKs, cloud platforms, and integration technologies.
Strong understanding of software architecture and modern development practices.
Excellent executive communication and strategic planning skills.
Demonstrated ability to influence cross-functional teams without direct authority.
Preferred
Familiarity with LangChain, Semantic Kernel, AutoGen, CrewAI, or similar orchestration frameworks.
Experience with enterprise integration technologies and workflow automation.
Experience building platform capabilities used across multiple products.
MBA or advanced technical degree is a plus.
What You'll Bring
Respect for others and a strong belief that others should do this in return
Demonstrated initiative and achievement-oriented leadership
Ability to manage several projects at a time
Growth mindset and desire for continued knowledge sharing and learning
Understanding of impac