Founding Engineer - Full Stack, Product Leaning

United States·San FranciscoFull-timemid

OtherExecutiveFounder

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Quick Summary

Overview

NegotiateAI is a portfolio company of Menlo Ventures. About NegotiateAI We’re building a revolutionary enterprise platform to transform procurement. Our mission is to transform procurement into a core strategic function, starting with the manufacturing and industrial verticals.

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NegotiateAI is a portfolio company of Menlo Ventures.

About NegotiateAI

We’re building a revolutionary enterprise platform to transform procurement. Our mission is to transform procurement into a core strategic function, starting with the manufacturing and industrial verticals. Our focus is to streamline indirect spend, delivering exceptional cost savings and operational efficiency to procurement teams everywhere. It’s time to bring innovation and efficiency to procurement.

As the founder, I come from a background in global sourcing and supply chain leadership, having grown and led organizations at Apple for nearly a decade. With backing from Menlo Ventures, we’re leveraging cutting-edge technologies like agentic AI, LLMs, and Retrieval-Augmented Generation (RAG) to build a platform that guarantees enterprises millions in savings on their indirect spend.

About this role

As one of our founding engineers, you will contribute to building the infrastructure that powers our AI-driven procurement platform, enabling seamless data categorization and harmonization, Agentic AI-driven benchmarks, and Agentic AI-driven negotiations. You will lay the groundwork for scalable, innovative solutions that transform how enterprises manage their spend. While full-stack in scope, this particular role will lean more toward frontend aspects, so a product-focused mindset is helpful.

Refine the product flow and user interface while developing the frontend.

Identify key technical requirements to optimize workflows for indirect spend categorization with RAG+LLMs, unique part identification extraction, agentic AI-driven benchmarking strategies, and agentic AI negotiation automation.

Implement LLM, RAG, and agentic AI pipelines to process and analyze large-scale procurement data, generate actionable insights, and power intelligent spend recommendations.

Train LLMs and implement agentic AI tailored to procurement, creating intelligent agents that find online benchmarks, clean and triangulate dirty data to find critical part information, find contact information from suppliers online, communicate with suppliers, reduce costs, and drive measurable value for enterprises.

5+ years of full-stack development with a strong grasp of product strategy.

Proven work on LLM projects, ideally including agentic workflows, with ability to discuss specific use cases, architectures and technical challenges.

Tech Stack: Next.js (TypeScript), Supabase (PostgreSQL), Node.js, Langsmith

Experience building 0 –> 1 in a startup, earlier stage the better.

Demonstrated proficiency in writing clean, reliable code with effective testing (unit / integration).

Ability to walk us through a technical project you have led or significantly contributed to, in detail.

Comfortable with ambiguity and evolving project requirements, with a track record of iterating quickly.

If you’re excited about solving complex technical challenges and building a transformative product from the ground up, we’d love for you to join us.

Base salary of $130,00 – $180,000 based on experience and equity preference

Pre-seed level equity grant based on cash preference

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