Top Product Manager Jobs in Mumbai

Lead development of agentic AI products by translating LLM/agent concepts into production workflows, driving roadmap and execution, working closely with engineers and data scientists, prioritizing features, and incorporating customer insights to ship high-quality, production-ready AI systems.

The Senior Product Manager will lead product roadmaps, mentor teams, manage execution, collaborate with engineering, and monitor product performance across multiple regions.

Lead product strategy and architecture for Conversation AI, owning agent creation, deployment, evaluation, observability, integrations, pricing, and compliance. Partner with Engineering, AI, Design, GTM and operations to deliver dependable AI agents at scale, mentor PMs, and define metrics, testing, and release standards to ensure reliable business outcomes across millions of interactions.

Lead product strategy and platform architecture for HighLevel Voice AI. Define lifecycle, evaluation, quality standards, integrations (telephony, CRM, workflows), metrics, reliability, and commercial models. Partner cross-functionally with engineering, design, legal, GTM, and operations to ship dependable, scalable voice agents that handle inbound/outbound calls, transfers, actions, and observability across SMB and agency customers.

Lead product strategy for HighLevel Knowledge Bases and Ask AI, defining architecture, ingestion, retrieval, evaluation, permissions, observability, and commercial models. Drive cross-team platform standards, onboarding, testing datasets, and integrations so AI assistants reliably retrieve context, invoke tools/agents, execute actions, and surface auditable, safe results for multi-tenant SMB customers.

Own and ship developer-focused observability product features (alerts, APM, onboarding, connected investigations). Collaborate with engineers and power users to improve UX, reduce alert fatigue, speed root-cause workflows, and optimize telemetry onboarding and query performance.

Own a financial product vertical end-to-end: set strategy and roadmap, define acceptance criteria, shape technical design for money movement, ensure correctness and compliance, apply and evaluate AI/LLM where appropriate, manage third-party rails and launch gates, and coordinate across engineering, design, compliance, operations and finance.