Principal Product Manager - Conversational AI & Agent Platform - Equinix

Principal Product Manager - Conversational AI & Agent Platform

• JR-162428
• Hybrid
• Bengaluru
• Technology Enablement
• Full time

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.

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.