Director of AI Enablement
On-siteAustin, Texas, United States or San Antonio, Texas, United States
Job Summary
Develop and own the company's AI product roadmap, defining principles, governance, and long-term platform direction across SaaS and on-premise software solutions. Embed Generative AI, Agentic AI, and Model Context Protocol (MCP) into existing products and new offerings by creating business cases for ROI, pricing, and commercialization strategies. Partner with Product Management, Engineering, Sales, and Customer Success to prioritize AI capabilities, automate workflows, and expose products as AI-capable services. Present AI strategy and roadmaps to executive leadership while driving adoption of LLMs, orchestration frameworks, and enterprise integrations to unlock new revenue opportunities.
Required Qualifications
- 8+ years in Product Management, Product Strategy, or Technical Product Leadership
- 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
- Must be able to travel to Austin, TX: 5001 Plaza On the Lake, Suite 105, 78746
Desired Qualifications
- 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
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