Senior Software Engineer

NegotiateAI; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

NegotiateAI, a Menlo Ventures-backed startup, seeks an engineer to join early and own meaningful pieces of our AI-powered procurement platform. You’ll build the systems that power the product end to end and work directly with the founder and early customers to decide what to build next.

This hands-on role includes technical leadership without direct reports, with impact across backend services, data pipelines, and secure, private AI workflows, all aimed at shipping quickly with real-world data.

Qualifications

• 5+ years of professional software engineering experience.
• Backend systems, APIs, and data pipelines.
• Hands-on with LLMs in production.
• Experience with messy real-world data.
• Cloud infrastructure and production practices.
• Strong product sense and customer empathy.

Responsibilities

• Build and own core backend services with ERP integrations.
• Develop agentic systems for data categorization and sourcing benchmarks.
• Ship features for real-time spend visibility and benchmarking.
• Evaluate AI systems for accuracy and monitor regressions.
• Define architectural direction and mentor junior engineers.
• Apply security and data privacy practices.

Skills

Backend development

LLM in production

API design

Data pipelines

Security & privacy

Tools

AWS

GCP

TypeScript

ClickHouse

BigQuery

Job description

About NegotiateAI (Menlo Ventures Backed)

Today we're building AI for category managers at manufacturing and industrial companies, taking the grind out of indirect spend and delivering enterprises millions in savings.

That's the starting point. Where we're going is general procurement AI that spans the entire function.

If you're excited about solving hard technical problems and building a transformative product early, we'd love for you to join us.

About this role

You’ll be one of the first engineers on the team, building the systems that power our AI-driven procurement platform. You’ll own meaningful pieces of the product end to end, and work directly with the founder and our earliest customers to figure out what to build next.

This is a hands‑on role with a technical leadership component, but no direct reports.

What you’ll do

• Build and own core backend services, including integrations with ERP systems, supplier databases, and spend analytics tools.
• Build the agentic systems at the core of the product: pipelines that categorize indirect spend and resolve part identifiers from incomplete supplier data, and agents that source online benchmarks, gather supplier contacts, and support automated negotiation.
• Ship customer‑facing features for real‑time spend visibility and supplier benchmarking, and iterate quickly on customer feedback.
• Build evaluation and monitoring for our AI systems so we can measure accuracy and catch regressions before customers do.
• Set architectural direction for the systems you own, and mentor engineers earlier in their careers.
• Apply security and data privacy practices, including anonymization, tokenization, and secure sandboxes for model work.

Must haves

• 5+ years of professional software engineering experience, with a track record of shipping production systems end to end.
• Strong backend engineering skills, including API design and data pipeline work. Depth matters more to us than experience in any particular language.
• Hands‑on experience building with LLMs in production, including agentic workflows, tool use, context and retrieval strategies, and evaluation.
• Experience shipping against messy real‑world data: cleaning, normalization, entity resolution, and establishing ground truth.
• Comfortable with cloud infrastructure (AWS or GCP) and standard production practices: CI/CD, testing, and observability.
• Product sense. You can take an ambiguous problem, talk to a customer, and decide what's actually worth building.
• A drive to improve developer experience and team velocity in the AI era, through internal tooling and agent‑assisted workflows.
• Comfort with early‑stage ambiguity: a small team, shifting priorities, and shipping before everything is fully specified.

Nice to haves

• Deep production experience with TypeScript.
• Experience designing agent harnesses: the scaffolding that makes a model reliable in production.
• Experience with ClickHouse, or with other columnar analytics stores such as BigQuery, Snowflake, or Databricks.
• Experience integrating with enterprise systems such as SAP, Oracle, NetSuite, Coupa, or Ariba.
• Background in procurement, supply chain, sourcing, or marketplace software.
• Experience meeting SOC 2, GDPR, or similar compliance requirements at a startup.
• Experience at an early-stage startup (seed through Series B).
• Experience across both B2B and B2C, with a sense of how to make enterprise software feel consumer‑grade.