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Tier-1 brand, metro Bangalore, mid-level (3+ years), and broad cross-functional generalist skills drive high competition.
Trust & Safety, policy, and operational model enablement are specialized, making cross-industry transferability limited.
Explicit 3+ years requirement plus mandatory Trust & Safety/domain experience and analytics expectations increases shortlisting strictness.
Lead development and operationalization of scalable trust and safety policy solutions across AI monetization platforms.
Define and evolve policy frameworks, reviewer guidelines, and enforcement mechanisms to improve ecosystem safety and quality.
Collaborate cross-functionally with Engineering, Data Science, Operations, and Policy teams to drive AI/ML-powered moderation and risk mitigation systems.
Bachelor's degree in relevant field or equivalent practical experience.
3+ years in Product Management, Trust & Safety, Policy Operations, Risk Management, or related domains.
Experience developing and operationalizing policies or business rules in complex, scalable environments.
Strong analytical skills with hands-on experience in data-driven decision making and cross-functional collaboration.
Experienced in managing large-scale policy enforcement, labeling operations, and quality assurance programs supporting AI/ML moderation.
Ability to navigate ambiguous, fast-paced environments and lead cross-team initiatives impacting customer safety and business outcomes.
Skilled in translating complex policy and operational problems into scalable solutions leveraging AI, human review, and data insights.