As a founding engineer, you will build and refine the infrastructure for an AI-driven procurement platform, focusing on frontend development and optimizing procurement workflows using advanced AI technologies.
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.
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
- 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.
Compensation and Benefits
- Base salary of $130,00 – $180,000 based on experience and equity preference
- Pre-seed level equity grant based on cash preference
- Medical, Dental, Vision
Menlo Ventures Menlo Park, California, USA Office
1300 El Camino Real, suite 150, Menlo Park, CA, United States, 94025
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The role involves analyzing DPRK cyber operations, producing intelligence reports, engaging in team discussions, and monitoring adversary financial activities. Responsibilities include independent research, technical analysis, and collaboration to fill intelligence gaps.
Top Skills:
CensysChainalysisDomaintoolsNetflowTrm LabsVirustotal
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
This role involves developing and implementing testing frameworks for ensuring reliability and performance of AI security controls across platforms. The engineer will expand test coverage and contribute to quality metrics for AI models.
Top Skills:
AWSAzureDatadogDockerGatlingGCPGoGrafanaGrpcJavaScriptJmeterKubernetesNew RelicPostgresPrometheusProtocol BuffersPythonRedisRest
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Intelligence Analyst will manage customer relationships, support cyber threat intel applications, ensure customer satisfaction, and communicate findings. Responsibilities include customer interaction, triaging threats, and driving improvements in service delivery.
Top Skills:
APIsCyber Threat IntelligenceDark WebPythonScripting Languages
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
