Primary Responsibilities

• Define and own the product roadmap for multi-modal generative content systems, with a focus on scalability, quality, personalization, and brand fidelity.
• Drive a cohesive product vision across generative image, text, and code content capabilities that tightly integrate creative, operational, and business requirements.
• Translate AI/ML innovations into structured, scalable content generation pipelines and intuitive, user-facing experiences.
• Rapidly prototype and iterate using tools like LangChain, Replit, Vercel, and other LLM-powered low/no-code frameworks.
• Work hands-on within AI-enhanced IDEs such as Cursor and GitHub Copilot to validate workflows and experiment with new features.
• Apply Model Context Protocol (MCP) principles to build context-aware, multi-agent systems with coherence, memory, and alignment across user sessions.
• Design and orchestrate agentic AI systems for complex workflows such as automated QA, iterative testing, and safe, traceable publishing.

Job Qualifications

• 5+ years of product management experience, with 3+ years focused on Generative AI, ML tooling, or developer platforms.
• Proven ability to bring AI/ML-powered features from ideation through to launch, especially in enterprise or platform-scale environments.
• Strong understanding of prompt engineering, vector search, retrieval-augmented generation (RAG), and LLM APIs in production contexts.
• Hands-on experience with AI-enhanced IDEs (e.g., Cursor, GitHub Copilot) and prototyping environments like Replit, Vercel, or similar.
• Familiarity with Model Context Protocol (MCP) and agentic AI frameworks supporting autonomous, task-driven systems.
• Demonstrated knowledge of ethical and responsible AI principles with tangible implementation outcomes.
• Track record managing products involving multi-format AI-generated content, including visual assets, narrative content, and executable code.

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