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Mid-level AI role, metro location, recognizable brand and popular AI title increase applicant competition.
Requires specialized GenAI and AI product experience, limiting transferability across generalist backgrounds.
Explicit 5–8 years, required AI product experience, and product leadership make filtering stringent.
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Lead development and deployment of Generative AI and agentic AI solutions across enterprise domains.
Define AI product roadmap, identify high-value use cases, develop business cases, and align stakeholders.
Oversee AI product lifecycle including architecture, integration, deployment standards, MLOps, scalability, reliability, and governance.
5-8 years of total experience in product management with at least 2-3 years focused on AI or machine learning products.
Bachelor's degree in Computer Science, Engineering, Business, or related field; Master's preferred.
Proven track record of delivering AI products from conception to production at scale.
Experience in B2B enterprise software, platform products, or engineering tools preferred but not mandatory.
Experienced in leading AI product teams with strategic influence on enterprise AI solutions.
Strong background in scaling AI technologies including LLMs, RAG, and multimodal AI for business impact.
Comfortable working cross-functionally with engineering, research, and business stakeholders to translate AI capabilities into scalable products.