AI Knowledge Product Architect

We’re looking for an experienced AI Knowledge Product Architect to drive the strategy, roadmap, and execution of our AI-powered knowledge management products. In this role, you’ll sit at the intersection of generative AI, knowledge management, and customer experience — shaping products that transform how enterprises deliver trusted knowledge to customers, contact center agents, and AI bots.

At eGain, we think of enterprise AI as a five-layer stack:

Infrastructure

Data

AI Models

Knowledge

Applications

Knowledge is instruction for your AI. Knowledge along with data is infrastructure on which you build reliable agentic systems – it’s the layer that turns generic AI into trusted enterprise AI — and that’s where this role lives. We’re specifically looking for candidates who want to bring that foundational depth to the Knowledge layer.

This is a high-impact, high-visibility role for a product leader who is passionate about AI, obsessed with customers, and motivated by building category-defining products.

6–10 years of product management experience in layers 1–3 of the AI stack — Infrastructure, Data, or AI Models. Examples: enterprise data and AI platforms like Databricks or Snowflake; model serving and inference platforms; ML infrastructure.