How a Product Leader Builds Enterprise AI Agents

Feb 3, 2026

Anuj Jain, Head of Product at Nurix.ai and seasoned builder of enterprise AI products, discusses shipping real-world conversational and voice agents. He talks about why context engineering beats model hype. He explores how AI reshapes work in India and globally. He describes using voice agents for thinking and leadership. He outlines practical steps for deploying reliable, trustable enterprise AI systems.

Ask episode

AI Snips

Chapters

Transcript

Episode notes

INSIGHT

Context Beats Model Choice

Enterprise AI must be deeply context-aware to be reliable and useful.
Context engineering matters more than model choice for real-world enterprise agents.

ANECDOTE

From Sprinklr To Nurix

Anuj transitioned from software engineering to product after business school and led Sprinklr's AI layer in 2017.
He now builds voice agents at Nurix for customer support, sales, and recruitment.

INSIGHT

ChatGPT Changed User Behavior

ChatGPT marked a major shift from research demos to practical, widely used tools.
User behavior changed: people increasingly use chat assistants instead of traditional search.

Get the Snipd Podcast app to discover more snips from this episode

Get the app

I sit down with Anuj Jain, a seasoned product leader who’s been building AI products long before the current hype cycle and is now shaping how enterprise AI agents work in the real world.

Anuj is the Head of Product at Nurix.ai, where he leads the development of advanced conversational and voice AI agents used by enterprises across customer support, sales, and internal operations. His background spans AI platforms, growth systems, and large scale enterprise tools, with early work leading AI product teams at Sprinklr during the first major deep learning wave.

In this conversation, we go beyond demos and buzzwords. Anuj shares how AI is being adopted inside enterprises today, why context engineering matters more than the model itself, and why AI is not a silver bullet but a system that must be trained, trusted, and evolved over time.

He also offers a fascinating look at how India’s tech culture is adapting to AI at scale, and how he personally uses a voice agent during his daily commute to think better, prepare for hard conversations, and challenge his own ideas.

🔥 Topics We Cover:

What it really takes to ship enterprise AI agents into production
Why context engineering is critical for reliable AI systems
How AI is reshaping the workforce in India and globally
Why AI should be treated like a new hire, not a magic fix
How voice agents can be used for thinking, decision making, and leadership
The future of enterprise AI, agentic workflows, and internal operations

Tools & Concepts Mentioned in This Episode:

AI & Product Platforms-
ChatGPT
Claude Code
Vercel

Enterprise AI & Agents-
Nurix.ai
Sprinklr

Productivity & Workflow Tools-
Granola
Cluely
Expensify

Connect with Anuj:
LinkedIn: https://www.linkedin.com/in/anujjain23/
Company: https://nurix.ai

Ready to cut through the AI overwhelm?

Explore all my resources in one place → https://stan.store/BRXSTUDIO
Free AI Guide • 45-Minute AI Audit • AI Community • How I AI Companion GPT

Support your body against the invisible stress of EMFs with Leela Quantum Tech

5% off with affiliate code: BROOKE

If you enjoyed this episode, please rate and review the show. Sharing it with a friend who’s AI-curious helps How I AI reach more people.

More About Brooke:

Website: brookex.com

LinkedIn: Brooke Gramer

More About the Podcast:

Instagram: howiai.podcast

Website: howiaipodcast.com