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Popular Product Manager title, metro location, mid-level expectations, and Tier-2 brand increase applicant competition.
Core product skills are transferable, but AI-native emphasis and regulatory experience increase domain specificity.
Requires AI fluency, data-driven skills, and mentoring but no explicit years, so moderately strict.
Define and own the pod's mission including business outcome, target customer, and success metrics within a small cross-functional team.
Validate product ideas with data and customer insight; use AI agents for discovery, analysis, spec writing, and backlog management.
Operate continuous flow (Kanban), manage dependencies, unblock teams, track KPIs post-launch, and contribute to prototyping or scripting as needed.
Experienced Product Manager with proven digital product delivery track record.
Strong in product strategy, discovery, prioritisation, and data-driven decision-making including KPIs, A/B testing, and customer research.
Proficiency with AI-assisted workflows and tools like Jira and Confluence; experience managing international cross-functional stakeholders.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable working in AI-native environments with strong AI fluency and ability to integrate AI tools into product lifecycle.
Practices cross-functional versatility, contributing beyond traditional PM scope with strong engineering mindset and technical curiosity.
Experienced in mentoring peers, managing complex dependencies, and handling communication across diverse global stakeholders and teams.