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.
Qualifications
- 5+ years experience in full-stack engineering, with senior-level expertise
- Experience building 0 → 1 in a startup, earlier stage the better (pre-seed, seed, series A)
- Strong track record of iterating quickly on product and growing a customer base
- Experience working with modern AI/ML technologies, including Agentic AI, LLMs, RAG and prompt engineering
- Tech Stack: Next.js (TypeScript), Supabase (PostgreSQL), Node.js, Langsmith
- Ability to code and iterate quickly and scrappily, with also being able to step back and architect the stack
- Data Science background or familiarity (key: working with large data sets, parsing)
- Hungry to build a $B+ VC-backed AI enterprise solution
Nice-to-haves
- Some large company experience early in career
- Experience building consumer-grade software
- Experience in scaling and working with enterprise clients
- Founding engineer experience at pre-seed through series A or B startup
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
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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