About NegotiateAI (Menlo Ventures Backed)

We’re building a revolutionary enterprise platform to enable procurement Superintelligence. 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.

With backing from Menlo Ventures and created by an Apple leader, 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.

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.

About this role

This foundational teammate will build 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.

Core Responsibilities

• Design and architect the foundational infrastructure for NegotiateAI’s procurement platform, enabling seamless integration with ERP systems, supplier databases, and spend analytics tools.

• 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.

• Define fundamental platform capabilities that streamline procurement processes, including real-time spend visibility, supplier benchmarking, and automated decision-making. Implement LLM, RAG, and Agentic AI pipelines to process and analyze large-scale procurement data, generate actionable insights, and power intelligent spend recommendations.

• Apply data privacy principles and implement best practices for security, including data anonymization, key obfuscation, tokenization, training models within secure sandboxes, adhering to GDPR standards, and ensuring SOC II compliance.

• 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.

Must haves:

• Engineering background, masters of engineering optional

• 8+years experience

• 0-1 growing a product in a startup (seed or series A, B)

• Strong track record of iterating quickly on product and growing customer base

• Full tech stack + ML + product sense must. Can code and iterate quickly and scrappily, but can also step back and architect the stack, experience with Node & React.

• A+ player, exceptionally good technically, exceptional leader

• Hungry to build a $B+ VC backed AI enterprise solution

Additional nice to haves:

• Some large company experience early in career

• Experience with building consumer software and familiar with how to build consumer-grade software

• Experience in scaling and working with enterprise clients