
AI Product Manager
9 days left

AI Product Manager
9 days left
Job role insights
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Date posted
May 1, 2025
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Closing date
May 11, 2025
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Location
Frisco, TX
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Salary
Negotiable Price
Description
We are seeking a dynamic AI Product Manager to lead the strategy, development, and scaling of AI-driven marketing and content generation solutions for our enterprise client. You will drive the launch of a minimally viable AI content generation platform, evolve capabilities into personalization engines, and partner with cross-functional teams to deliver scalable, high-impact solutions.
Your ability to bridge cutting-edge AI capabilities with real-world marketing and business needs will be critical to driving success.
Key Responsibilities
- Own the AI Product Vision and Roadmap
- Define and execute the product strategy for AI-powered content generation, personalization, and agent-based scaling.
- Deliver MVP Solutions
- Lead the development of lean, reusable AI platforms focused initially on text-based content creation, evolving into dynamic personalization use cases.
- Drive Cross-Functional Collaboration
- Partner with technologists, marketers, and business stakeholders to optimize delivery, integration, and user experience.
- Technology Evaluation and Solutioning
- Work with internal teams to assess AI platform capabilities (e.g., LLMs, Generative AI, Adobe AI agents), explore build vs buy decisions, and ensure solutions integrate into existing marketing technology ecosystems.
- Scale Through Feedback and Adoption
- Establish pilot groups, capture feedback, iterate on product features, and drive adoption based on measurable business impact.
- Support Organizational Readiness
- Align initiatives with change management plans, preparing for gradual handover from managed services to broader internal adoption.
- Champion Innovation and Future Readiness
- Stay informed on AI advancements and recommend future-proof solutions that enable personalized marketing at scale.
Preferred Skills & Expertise
- Experience with Generative AI (e.g., LLMs, NLP, RAG models, content personalization frameworks).
- Strong understanding of AI/ML solution architecture and MVP-to-scale product development.
- Ability to translate complex AI capabilities into intuitive, business-friendly product features.
- Hands-on experience with AI products and tools
- Data-driven decision-making and strong user experience (UX) orientation.
- Expertise in AI prompt engineering and personalization engines is a plus.
- Strong communication, presentation, and stakeholder management skills.
- Experience in Telecom, MarTech, or Enterprise B2B is preferred.