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Strong global brand, metro location, and product seniority increase applicant density but role's AI specialization reduces it.
Requires deep AI/ML product and data platform experience, limiting cross-industry transferability.
Explicit 12+ years requirement and deep AI/data platform expertise make filters highly stringent.
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Define and drive AI roadmap and platform strategy across Data & Audience Platform focusing on AI/ML, GenAI, agentic workflows, and AI-native capabilities.
Own AI product strategy including problem selection, technology validation, business value definition, and ensuring investments are reusable, governed, cost-aware, and scalable.
Collaborate cross-functionally with engineering, analytics, data science, architecture, operations, privacy/legal, AI governance, and senior leadership to execute actionable, safe, and outcome-driven AI investments.
12+ years of experience in product management, technical product management, AI/ML product strategy, data platform, or related fields.
Deep knowledge and experience with AI/ML product concepts including model lifecycle, experimentation, MLOps, governance, and post-launch measurement.
Strong practical fluency in modern AI patterns such as LLMs, RAG, agentic systems, prompt lifecycle management, and AI observability.
Work Experience Required: 12+ years; Notice period: Not explicitly mentioned in the JD.
Experienced in defining and delivering large-scale AI/ML, GenAI, data platform or enterprise analytics products with measurable impact.
A strategic thinker who can set product vision across multiple teams in ambiguous technical domains and evaluate complex technology tradeoffs.
Demonstrated executive communication skills to translate complex AI concepts into clear business decisions and ability to influence cross-functional senior stakeholders without direct authority.