# Nasser Ghanemzadeh

> Forward Deployed AI Engineer for founder-led B2B SaaS. Ships one narrow AI workflow into your product in 10 business days. Building Vectig in public with Claude Code. Former CEO/CPO at Nivo (acquired, 200K+ users).

Nasser Ghanemzadeh has spent 17+ years building products and companies across AI, SaaS, and fintech. As CEO and later CPO at Nivo he built the product organization and shipped AI-powered applications that grew to 200K+ users and 450% revenue growth before the company was acquired. His current commercial focus is the AI Feature Sprint: a 10-business-day engagement for founder-led B2B SaaS teams of 5 to 50 that ships one narrow AI workflow into their product, with fixed scope, fixed price, and a Day-5 prototype guarantee. A focused 2-hour Discovery Day scoping session assesses whether an AI use case is useful, buildable, and worth a Sprint.

His live R&D lab is Vectig, an AI-native cash flow forecasting product for pre-seed-to-Series-A founders, built solo with Claude Code, in public. Every workflow pattern he ships into a client codebase has already shipped in Vectig first.

He is the author of two books: Forward Deployed AI Engineering (a working guide to the Forward Deployed AI Engineer role: what it is, where it came from, how it is practiced, and how to do it well; 224 pages, May 2026) and Founder Mode (how great founders stay close to product, people, judgment, and execution as companies scale). He writes a weekly newsletter, Notes from the edge of building, and his work has been covered in Forbes, TechCrunch, Al Jazeera, and HuffPost.

## Pages

- [Home](https://ghanemzadeh.com/): Who Nasser Ghanemzadeh is, what he is working on now, selected work, speaking and media, and how to get in touch.
- [AI Feature Sprint](https://ghanemzadeh.com/ai-feature-sprint/): Ship one narrow AI workflow into your B2B SaaS product in 10 business days. Fixed scope, fixed price, Day-5 prototype guarantee.
- [Discovery Day](https://ghanemzadeh.com/discovery-day/): A focused 2-hour working session to assess whether your AI use case is useful, buildable, and worth a 10-day Sprint.
- [What Is a Forward Deployed AI Engineer?](https://ghanemzadeh.com/forward-deployed-ai-engineer/): What the role is, where it came from, and how it is practiced.
- [Forward Deployed AI Engineer vs Solutions Engineer](https://ghanemzadeh.com/forward-deployed-ai-engineer-vs-solutions-engineer/): The same technical instinct, different employer, different deliverable. One ships AI into the customer's product; the other sells and integrates a vendor's.
- [How to Become a Forward Deployed AI Engineer](https://ghanemzadeh.com/how-to-become-a-forward-deployed-ai-engineer/): The backgrounds people come from, the skills to build, and a step-by-step path that ends in one shipped AI workflow you can defend.
- [Forward Deployed AI Engineering Glossary](https://ghanemzadeh.com/glossary/): Plain-language definitions of the terms used in Forward Deployed AI Engineering: the role, the AI Feature Sprint, workflows, MCP, Claude Code, and more.
- [Books](https://ghanemzadeh.com/books/): Two books by Nasser Ghanemzadeh: Founder Mode and Forward Deployed AI Engineering.
- [Forward Deployed AI Engineering (book)](https://ghanemzadeh.com/books/forward-deployed-ai-engineering/): A working guide to the Forward Deployed AI Engineer role. 224 pages. May 2026.
- [Founder Mode (book)](https://ghanemzadeh.com/book/): A practical book on how great founders stay close to product, people, judgment, and execution as companies scale.
- [Newsletter: Notes from the edge of building](https://ghanemzadeh.com/newsletter/): Weekly notes on Forward Deployed AI Engineering, building AI-native SaaS solo with Claude Code, and distribution without paid ads.

## Full content

The complete text of every page above is available in a single file at https://ghanemzadeh.com/llms-full.txt