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Mid-level Product Manager in Bangalore with broad AI/LLM and observability requirements increases applicant competition.
Strong need for applied AI, agent, and B2B SaaS product experience limits transferability across industries.
Explicit 5+ years requirement plus niche AI agent and observability experience raises screening strictness.
Own end-to-end product management of observability tools enabling builders and reviewers to simulate, test, and audit GenerativeAgent behaviors before and after deployment.
Lead development of scenario creation tools, mistake monitoring and evaluation surfaces, preview and conversation exploration tools to provide actionable quality insights at scale.
Partner across research, engineering, sales, and customer success to ground product decisions technically and demonstrate quality impact to stakeholders.
5+ years product management experience including testing, quality, or review/analytics products in B2B SaaS.
Direct experience building applied AI or LLM-based products with strong understanding of agentic behavior and system output evaluation.
Experience shipping simulation, testing, or preview tools to validate system behavior pre-production.
Experience building review or audit tools for complex unstructured content and converting quality signals into defensible categorizations.
Proven ability to define and execute quality-focused product strategies involving simulation-driven testing and auditing at scale.
Strong cross-functional collaboration with engineering and research to translate technical system internals into product decisions.
Experience in fast-scaling or startup environments with evolving role scope, preferably in AI agent or conversational AI domains.