Principal Product Manager - Conversational AI at Equinix in Bangalore Office BLS2

Job description

Who are we? Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You’ll work across teams, influence key decisions, and help shape the path forward. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work. Job Summary This is a senior individual contributor role with broad influence across the company. You will own the product strategy for Equinix's conversational AI and assistant platforms — chat, voice, and agentic interfaces that employees, customers, and partners interact with directly. You will work closely with engineering and architecture teams on technical decisions while also helping executives understand business implications, investment choices, and risk. You will serve as a conversational AI product leader across Go to Market, Operations, Product, and Corporate functions. Depending on the initiative, you may advise business leaders, partner with product and engineering teams, or directly lead product strategy and delivery for conversational experiences and the platform capabilities that power them. The conversational AI market is changing quickly — from single-turn chatbots to multi-agent, tool-using assistants. An important part of this role is evaluating new conversational AI technologies, identifying which capabilities are relevant to Equinix, and translating them into practical product and platform investment decisions. Responsibilities Conversational AI, Cloud, and Data Architecture Bring strong working knowledge of conversational AI, dialogue systems, agent orchestration, cloud infrastructure, and enterprise data architecture to product and platform decisions Partner with engineering and architecture teams to evaluate large language model architectures, conversational agent design patterns (orchestrator/worker, multi-agent handoff, tool calling), cloud deployment approaches, and enterprise data pipelines Participate meaningfully in technical and architecture reviews, as well as product and roadmap discussions for the conversational platform Translate technical choices, constraints, and risks into clear business implications that leaders can understand and act on Help ensure conversational AI products are designed for enterprise scale, security, reliability, multi-channel support (chat, voice, embedded assistants), and reuse across business functions Conversation Design, Model Strategy, and Deployment Guide decisions on prompt design, retrieval augmented generation, conversation flow and dialogue management, model customization, fine tuning, and model selection for conversational use cases Help teams determine when a smaller model may provide better latency, cost, or control for real-time conversational interactions than a larger model Partner with AI and machine learning engineering teams on deployment approaches for conversational agents across cloud, private infrastructure, and low-latency environments Evaluate emerging approaches such as multi-agent coordination, model routing, tool/function calling, memory and context management, and hybrid model deployment for conversational systems Use conversation quality metrics, containment and escalation rates, model performance data, evaluation results, user feedback, and business outcomes to guide product priorities Platform Reliability and Responsible AI Define product requirements for conversational AI system reliability, availability, latency, performance, monitoring, usage limits, and incident response Partner with engineering teams to improve visibility into conversational agent behavior, model performance, cost, conversation logs, a