*This role is with NegotiateAI, a new 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.
Core Responsibilities
- 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.
Qualifications
- 2+ 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.
Compensation
- Base salary plus pre-seed level equity grant
Top Skills
What We Do
Menlo Ventures provides capital for seed through growth technology companies in the consumer and enterprise sectors. For decades, the firm’s market-driven research analysis has led to the identification of and successful exits in innovative technology markets. Notable research areas of investment include Mobile (Siri, Uber, TeleNav), Enterprise Storage (3PAR, Spinnaker Networks, Coraid), Communications (Acme Packet, Cavium Networks), and Consumer (Fab, Tumblr, Carbonite, Roku). Founded in 1976, Menlo’s portfolio includes 70 public companies and more than 100 mergers and acquisitions. Throughout the firm's history, Menlo’s deep network of portfolio entrepreneurs, angels and advisors are a key resource made available to all of our family of investments. Menlo Ventures has $4 billion under management and is currently investing Menlo Ventures XIV, a $450 million fund. For more information, visit www.menlovc.com.
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