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Tier-1 brand and metro location increase competition but senior AI/platform specialization tempers applicant density.
Requires deep AI/ML and data platform product experience, limiting transferability across industries.
Explicit 12+ years and deep AI/platform product requirements make filters highly stringent.
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Define and drive the AI roadmap for Data & Audience Platform focusing on predictive ML, GenAI, AI-native capabilities, and analytics.
Accountable for AI product strategy including problem selection, technology validation, business value definition, and ensuring scalable, governed platform investments.
Collaborate cross-functionally with engineering, data science, legal, governance, and leadership to enable actionable, safe, and outcome-driven AI investments.
12+ years in product management or related roles with focus on AI/ML product strategy, data platform, or analytics.
Strong technical knowledge of AI/ML product concepts including model lifecycle, MLOps, data quality, governance, and post-launch measurement.
Expertise in modern AI patterns like LLMs, retrieval augmented generation, agentic systems, prompt/agent lifecycle management, and AI observability.
Work Experience Required: 12+ years as explicitly mentioned in the JD.
Experienced in defining and delivering large-scale AI/ML and data platform products with measurable business impact.
Strategic thinker able to evaluate technology tradeoffs across scalability, security, cost, and value in ambiguous technical domains.
Strong influence and communication skills to translate complex AI concepts into executive decisions and to work across diverse teams including governance and senior leadership.