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Common mid-level PM title, 5+ years, and Bangalore metro increase applicant competition.
Role demands deep product experience in LLMs, observability, and test/review tooling, reducing cross-industry transferability.
Explicit 5+ years plus mandatory AI, testing, and review tooling experience makes filters strict.
Own and enhance the data layer products (models, dashboards, feeds, APIs) that provide visibility into GenerativeAgent performance for customers and internal stakeholders.
Lead development of simulation and evaluation tools including scenario creation, mistake monitoring, structured data evaluations, conversation previews, and conversation exploration to improve AI quality and trust.
Partner across Sales, Customer Success, Research, and Engineering to validate quality improvements via simulation-driven testing and review, and ensure alignment of product decisions with technical realities.
5+ years product management experience, including roles focused on testing, quality, or review/analytics products in enterprise B2B SaaS.
Direct experience building products around LLMs, AI agents, or applied AI systems with ability to reason about agentic behavior, prompt/scenario design, or model output evaluation.
Experience shipping tools to simulate, test, or preview system behavior pre-production and building review/audit tooling for complex, unstructured content.
Work Experience Required: 5+ years product management; Other stringent requirements explicit; Location: Not explicitly mentioned; Notice period: Not explicitly mentioned.
Experienced in defining and owning complex AI product quality and evaluation tooling with a strong bias for outcome-focused ownership.
Comfortable working deeply with research and engineering teams on AI system internals such as reasoning traces, tool usage logs, and evaluation methods.
Ability to partner cross-functionally with Sales, Customer Success, and Research to drive adoption and demonstrate product value to enterprise customers.