AI Product Manager / Technical Product Manager GenAI

We are looking for an AI Product Manager / Technical Product Manager with 68+ years of experience in product management, with strong experience delivering AI, Generative AI, or enterprise software products. The ideal candidate will have hands-on exposure to LLMs such as Gemini and Claude, along with a strong understanding of Generative AI, Agentic AI, RAG, prompt engineering, and multi-agent architectures. Apple experience is preferred, and local candidates only. Key Responsibilities Define and drive the product vision, strategy, roadmap, and priorities for AI-powered products.Translate business and customer needs into product requirements, user stories, and success metrics.Work closely with AI/ML engineers, software developers, architects, UX teams, and business stakeholders.Evaluate and compare LLMs such as Gemini, Claude, and other enterprise LLMs based on performance, cost, security, and business requirements.Define AI product requirements involving Generative AI, Agentic AI, RAG, prompt engineering, and multi-agent architectures.Identify and prioritize AI use cases that provide measurable business value.Partner with technical teams to design and deliver AI-powered enterprise solutions.Monitor product performance and use data-driven insights to improve AI products.Support AI model evaluation, testing, and continuous product improvement.Ensure AI products follow appropriate security, compliance, responsible AI, governance, and data privacy practices.Communicate product strategy, roadmap, progress, and business outcomes to stakeholders and executive leadership.Manage product delivery using Agile/Scrum methodologies and tools such as Jira or Azure DevOps. Required Skills Product Management 68+ years of Product Management experienceProduct strategy and roadmap developmentRequirements gathering and prioritizationProduct lifecycle managementSuccess metrics and KPI definitionStakeholder and executive communication AI / GenAI Generative AIAgentic AIRAG Retrieval-Augmented GenerationPrompt EngineeringMulti-Agent ArchitecturesLarge Language Models (LLMs)GeminiAnthropic ClaudeEnterprise AI use cases Technical / Platform Knowledge AI orchestration frameworksAPIsVector databasesEnterprise AI platformsAI/ML application architectureModel evaluation and selection Governance & Security Responsible AIAI governanceModel evaluationSecurity and complianceData privacy Preferred Qualifications Apple experience preferredExperience developing AI products for enterprise customersExperience with AI orchestration frameworks and enterprise AI platformsExperience working with vector databases and AI APIsExperience in Agile/Scrum environmentsExperience with Jira, Azure DevOps, or similar toolsTechnical background in software development, AI/ML, cloud, or enterprise architecture is a strong advantage