Top Product Manager Jobs in Pune

Owns the end-to-end product direction and quality of AI-powered systems, translating model capabilities, evaluations, and engineering constraints into requirements and priorities. Partners closely with ML, backend, and client engineers on system design, experimentation, evaluation frameworks, reliability, safety, latency, cost, and user experience. Identifies failure modes, establishes quality standards, drives rapid iteration, and ensures AI features are useful, predictable, understandable, and trusted.

The Senior Product Manager will drive product strategy and development, collaborating with cross-functional teams to enhance customer experience, focusing on AI and SaaS solutions.

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 AI-first product work across discovery, prototyping, documentation, execution, automation, and analytics. Work with stakeholders to identify pain points, build LLM-based proofs of concept, create handoff-ready specs, coordinate releases and rollouts, and track adoption. Automate repetitive processes and use data to drive product usage. Role is remote India with travel to Sun King markets.

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.