How we helped a Menlo Ventures backed startup hire a Software Engineer
About NegotiateAI
NegotiateAI is an AI-native procurement platform backed by Menlo Ventures that helps mid-market manufacturers transform how they negotiate with suppliers. Their AI agents automate spend analysis, execute RFQ workflows, and run multi-round supplier negotiations — turning procurement from a cost center into a strategic function.
The company had just closed a significant funding round and was in execution mode — scaling their platform to handle enterprise-grade workloads, onboarding new customers in the manufacturing and industrial sectors, and building out the core engineering team.
The Challenge
NegotiateAI needed to hire a Software Engineer with a very specific blend of skills: strong backend engineering chops (Python, distributed systems), experience building agentic AI workflows, and the pragmatism to work effectively in a fast-moving early-stage environment. They also valued domain familiarity with procurement or supply chain — a rare combination with AI engineering experience.
The founding team was highly technical and had high standards. They'd already passed on a dozen candidates who weren't at the level they needed. With investor milestones on the horizon and customer commitments already made, the pressure to hire was real.
"We can't afford to make a hiring mistake right now. Every engineer we bring on needs to be someone who can hit the ground running and push the product forward from week one. That bar is hard to find."
How TechKareer Helped
TechKareer worked closely with NegotiateAI's CTO to understand not just the technical requirements, but the way the team worked — their code review standards, their on-call culture, and the type of ownership they expected from individual contributors. This context shaped every sourcing and screening decision we made.
Our approach:
- Investor network activation — leveraging Menlo Ventures' portfolio network and our own VC relationships to identify engineers from high-caliber companies who were open to early-stage roles
- AI agent specialization filter — specifically targeting engineers who had built production agentic systems (LangChain, LlamaIndex, or custom orchestration), not just used LLM APIs
- Domain signal mapping — filtering for candidates with supply chain, logistics, or ERP adjacent background to reduce onboarding ramp
- Structured technical interview prep — we briefed candidates thoroughly on NegotiateAI's architecture to ensure productive technical conversations
The Outcome
TechKareer delivered a shortlist of 4 highly vetted candidates within 14 days. NegotiateAI extended an offer to a software engineer who had previously built AI workflow automation at a Series B logistics startup — bringing exactly the combination of backend depth and agentic AI experience the team needed.
The new hire joined as Software Engineer and ramp-up was remarkably fast. Within his first two weeks he had shipped a production fix to the spend harmonization pipeline and begun scoping a new supplier intelligence feature.
What NegotiateAI Said
"TechKareer understood the urgency and the bar we needed to hit. They didn't overwhelm us with resumes — they gave us a tight shortlist of people who were genuinely exceptional. The process was fast, the candidate quality was high, and the person they placed has already become one of our best engineers."