Senior Software Engineer

ARON; Menlo Park (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

NegotiateAI in Menlo Park is seeking an early-stage engineer to help build our AI-driven procurement platform. You will own core backend services, integrate with ERP systems and supplier data, and partner directly with the founder and first customers to shape what we build next.

This hands-on role features an architectural influence, opportunities to work with LLMs in production, and responsibility for end-to-end delivery while ensuring data privacy and security are baked into the product from

Qualifications

• 5+ years of professional software engineering experience with end-to-end shipping.
• Strong backend skills, API design and data pipeline work.
• Hands-on experience building with LLMs in production, including agentic workflows.
• Experience shipping against messy real-world data: cleaning, normalization, entity resolution.
• Comfortable with cloud infrastructure (AWS or GCP) and standard production practices: CI/CD, testing, observability.
• Product sense to translate ambiguity into valuable features.

Responsibilities

• Build and own core backend services, including ERP integrations and supplier databases.
• Develop agentic systems: data pipelines and automated negotiation workflows.
• Ship customer-facing features for real-time spend visibility and benchmarking; iterate on feedback.
• Build evaluation/monitoring for AI systems to measure accuracy and catch regressions.
• Set architectural direction for owned systems and mentor more junior engineers.
• Apply security and data privacy practices, including anonymization and secure sandboxes.

Skills

Backend engineering

API design

Data pipelines

LLMs in production

Entity resolution

Cloud infrastructure

CI/CD

Observability

Product sense

Mentorship

Tools

ClickHouse

BigQuery

Snowflake

Databricks

SAP

Oracle

NetSuite

Coupa

Ariba

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.