Generative AI content and Application Manager Generative AI content and Application Manager Get AI-powered advice on this job and more exclusive features. We are seeking a Senior Principal Product Manager to lead the strategy and execution of AI-generated content platforms spanning visual, textual, and functional content — including tools that generate imagery, language, and working code. This role requires a rare blend of technical fluency, product strategy depth, and hands-on prototyping skill , using modern AI tooling to build high-quality, brand-aligned content experiences at scale. Roles and Responsibilities · Define and lead the roadmap for multi-modal generative content platforms — focusing on scale, quality, personalization, and brand fidelity. · Drive a unified product vision across generative image, text, and code content systems — tightly aligned with creative, operational, and business needs. · Translate advancements in AI/ML into structured, scalable content generation pipelines and customer-facing experiences. · Build and iterate on working prototypes using tools such as LangChain, Replit, Vercel, and low/no-code LLM-powered frameworks. · Work hands-on within IDEs such as Cursor and GitHub Copilot to experiment with and evaluate AI-enhanced application workflows. · Apply Model Context Protocol (MCP) principles to enable context-aware, multi-agent systems that maintain coherence, memory, and alignment across sessions. · Architect prompt flows and generation pipelines that integrate LLMs, embedding models, RAG systems, and fine-tuned content outputs. · Leverage agentic AI systems for orchestrating task-driven processes — such as content QA, iterative testing, and auto-publishing workflows — with safety and traceability built in. · Establish benchmarks and continuous feedback systems to evaluate AI outputs for fidelity, compliance, clarity, and velocity. · Collaborate with engineering, data science, creative, and marketing teams to ensure seamless integration of AI into content and development workflows. · Lead QA, human-in-the-loop, and feedback loop implementations to maintain creative excellence and business integrity at scale. · Mentor junior product managers and cultivate a strong experimentation culture within AI product development teams. Required Skills & Experience · 5+ years in product management, including 3+ years in Generative AI, AI/ML tooling, or developer platform products. · Demonstrated ability to manage products for multi-format AI-generated content — including image, text, and application code. · Hands-on experience with AI-enhanced IDEs like Cursor and GitHub Copilot, and with building prototypes using Replit, Vercel, or similar. · Familiarity with MCP (Model Context Protocol) and agentic frameworks that support autonomous, goal-driven AI capabilities. · Track record of taking AI/ML features from ideation through launch in enterprise or platform-scale environments. Preferred Qualifications · Technical background or education in computer science, data systems, or human-computer interaction. · Experience integrating prompt engineering, vector search, RAG, and LLM APIs into production environments. · Knowledge of ethical and responsible AI frameworks with real-world implementation experience. 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