Menlo Ventures

Full-stack Engineer

• 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.

Founding Engineer – Full Stack, Product Leaning

Account Executive

• Own key relationships: Build relationships with partners, understand their critical needs and workflows
• Grow our footprint: Help source, build, and close new partnerships
• Translate customer feedback into product insights: Work with WorkUp’s product teams to transform feedback into product roadmap
• Leverage data to drive outcomes: Use internal and external data sets to identify opportunities and measure outcomes
• Keep an AI-native mindset: Use the latest tools to find ways to grow impact
• Build with the founding team: Understand WorkUp’s vision, mission. Co-lead initiatives to achieve audacious goals.

Backend Engineer

• 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.

Founding Engineer – Full Stack, Product Leaning

Account Executive

Founding Engineer – Full Stack, Backend Leaning