NegotiateAI
Computer Software / SaaS
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NegotiateAI (Menlo Ventures–backed)
NegotiateAI is building an enterprise AI platform to modernize procurement for manufacturing and industrial companies. Procurement today is fragmented, manual, and opaque. We’re changing that by giving teams clean data, real-time visibility, and AI-driven workflows that actually get used.
We focus on indirect spend - MRO, services, and long-tail categories - where inefficiency quietly costs enterprises millions every year. Our platform combines agentic AI, LLMs, and Retrieval-Augmented Generation (RAG) to turn messy procurement data into actionable decisions and measurable savings.
Backed by Menlo Ventures and founded by a former Apple supply-chain leader, we’re building real systems used by real enterprises.
This is a hands-on senior execution role working alongside with the founding engineers. You’ll help build and scale the core platform across backend services, AI workflows, and the Buyer Portal frontend.
You’ll be expected to move fast using modern AI-assisted development tools (e.g., Cursor, Copilot-style workflows) to iterate quickly, refactor aggressively, and ship production-quality code. This is not a research role - it’s about building systems that work.
Build and extend backend services that power NegotiateAI’s AI-driven procurement platform
Implement LLM- and RAG-based pipelines for spend categorization, benchmarking, and supplier analysis
Develop and maintain agentic workflows that automate analysis, recommendations, and follow-ups
Contribute to the Buyer Portal frontend (React), building clean, usable interfaces for procurement teams
Use AI-assisted coding tools (e.g., Cursor) to accelerate development, debugging, and iteration
Integrate with customer data sources (ERPs, invoices, supplier files) and handle messy, real-world datasets
Collaborate closely with the founding engineer on architecture, trade-offs, and execution
Write clear, maintainable code with strong attention to performance, reliability, and observability
6+ years of professional software engineering experience
Strong backend experience building APIs and data pipelines; comfort working across the stack
Experience shipping products in fast-moving startup or startup-like environments
Hands-on experience with Node.js and React
Practical experience building or integrating AI-powered systems (LLMs, RAG, embeddings, or agentic workflows)
Comfortable using AI-assisted development tools (Cursor, Copilot, or similar) to move faster without sacrificing quality
Strong product and design sense and ability to balance speed with correctness
Ownership mindset: you see problems through to completion
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
After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.
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