Product Software Engineer

Crossinghurdles — United States · Posted ~2 days ago

Mid Onsite Visa History ✓ $200K-$350K + competitive equity

Skills

Product engineering Full-stack engineering Software development AI infrastructure Agent observability Production systems Agent monitoring Observability Full-stack web technologies

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary

Join a fast-growing AI infrastructure team as a Product Software Engineer, building systems that help organizations monitor, evaluate, and improve autonomous AI agents in production. You’ll work on challenging product and full-stack engineering problems involving agent behavior, reliability, scalability, and real-world data. The role offers substantial compensation and equity and is suited to engineers with 2+ years of product or full-stack experience in technology startups.

Highlights

High-impact product engineering role at a fast-growing AI infrastructure startup, with strong compensation, equity, and the opportunity to solve challenging reliability and scalability problems for autonomous AI systems.

Description

Crossing Hurdles is a global recruitment firm partnering with leading US-based startups. We are hiring for a fast-growing startup building AI infrastructure that helps teams monitor, evaluate, and improve autonomous agents in production. Their platform tracks agent behaviour, detects failures, and turns real-world data into insights to make AI systems more reliable and scalable. Role Snapshot Role: Product EngineerCompensation: $200K - $350K + Competitive equityLocation: San Francisco, CaliforniaYOE: 2+ years of experience in product or full- stack engineering at tech startups About The Clint The company builds infrastructure for Agent Behaviour Monitoring (ABM), surfacing behavioural issues like instruction drift and context loss that traditional observability misses. Teams use it to understand how autonomous agents perform in production by clustering patterns across conversations and workflows, correlating regressions to interaction types, and pinpointing where reliability breaks down. Why should you consider ? Build infrastructure that makes AI agents reliable in real production.Founder-level ownership with direct customer impact from day one.Work alongside an elite, fast-moving team that deeply values product quality.Massive agency to shape both the product and project direction.Top compensation plus full benefits, Equinox, and a private chef