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Metro-based, generic Product Manager title with mid-level expectations and broad AI skills increases competition.
Core product and AI skills are transferable, though industry-specific regulatory or gaming experience raises fit sensitivity.
Requires proven product experience, AI fluency, data-driven decision-making, and cross-functional ownership, implying moderate shortlisting strictness.
Define and own the pod's mission, including business outcomes, target customers, and success metrics.
Validate ideas with data and customer insights, using AI tools for discovery, analysis, and specification writing.
Manage dependencies, unblock cross-functional teams, track mission KPIs, and contribute hands-on via prototyping or scripting with AI assistance.
Experienced Product Manager with a track record of delivering digital experiences.
Strong product strategy, discovery, prioritisation skills, and ability to write clear specs with acceptance criteria for humans and AI.
Data-driven decision making skills including KPIs, A/B testing, analytics, and customer research.
Proficiency with AI-assisted workflows and experience managing dependencies across international, cross-functional teams.
Demonstrates strong engineering mindset with AI fluency and technical curiosity, using AI primarily for product discovery and development.
Experienced in cross-functional collaboration, ownership of end-to-end outcomes, and communicating effectively across stakeholders.
Capable of mentoring other Product Managers and comfortable engaging in technical discussions on architecture and system design.