The OpportunityWe'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.
What You Will Do - Own the vision, strategy, and architecture of the AI Knowledge Hub as enabler for Customer Service Automation & Enterprise AI.
- Advance the product & architectural foundation for enterprise knowledge management - the platform, infrastructure, and frameworks powering knowledge.
- Drive product roadmap to transform Content into Trusted Knowledge - a single source of truth for all value-added app building and human consumption.
What You Will Bring - 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.
- Proven track record shipping AI infrastructure products at enterprise scale.
- Deep technical command of modern AI - LLMs, embeddings, vector databases, RAG, agentic patterns, and evaluation frameworks.
- Experience with enterprise customers in regulated industries - financial services, insurance, telecommunications, healthcare, or government.
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- Master's degree preferred
- Preferred experience with knowledge management platforms and fluency in knowledge modeling, ontologies, taxonomies, retrieval architectures, and enterprise content lifecycle.
- Track record of taking platform products through the full lifecycle - from 0 12 1 invention through scaling to enterprise adoption preferred.
Why eGain - The chance to shape the future of AI-powered knowledge management at a category leader trusted by the world's largest brands.
- A collaborative, fast-paced environment with seasoned product, engineering, and AI leaders.
- Direct exposure to enterprise customers and senior leadership.
- Competitive compensation, equity, and comprehensive benefits.
- A mission-driven team committed to delivering trusted AI Knowledge at scale
Our Hiring Process is "Easy with eGain"Step 1Written test
- Aptitude section - this is a GRE style test (60 minutes or less)
- Functional section - this is a take-home test
Step 2Panel interview (in-person at eGain Sunnyvale office)
Next stepEmail your resumé to [email protected] with the position title "AI Knowledge Product Architect" in the email subject.
Compensation - The salary is $200,000 per year.
- Stock options.
Please note that the compensation package can vary based on the candidate's qualifications and experience level.
