Product Engineer, Full Stack

Judgment, Inc.; San Francisco (CA); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

Judgment, Inc. is looking for a Product Engineer — Full Stack to own end-to-end production systems, from data layer to UI, and to work closely with customers to define what to build. You will design interfaces, verify changes in simulated environments, and drive the improvement loop with scalable workflows across multiple environments.

The role requires a builder mindset, strong problem-solving skills, and excellent communication across technical and non-technical audiences.

Qualifications

• Experience building and scaling end-to-end production systems.
• Strong technical problem-solving in fast-changing environments.
• Ability to work directly with customers to understand needs.
• Clear communication across technical and non-technical audiences.

Responsabilités

• Investigation interfaces: design how engineers understand system behavior from traces, tool calls, decisions, and failures.
• Verification: build hosted simulated environments, trajectory replay, and monitors for unintended changes.
• The improvement loop: create workflows turning production data into datasets, evaluations, and regression checks.
• The platform underneath: manage workspaces, roles, permissions, billing, usage, and limits for teams.

Connaissances

End-to-end systems

Technical problem-solving

Customer collaboration

Cross-functional communication

Hands-on builder mindset

Description du poste

Product Engineer — Full Stack Job Description

The Role

Judgment is the learning infrastructure for AI agents. Agents in production don't improve from prompts alone. They improve from experience: the tasks they attempt, the mistakes they make, the edge cases they hit. Here's how it works:

We ingest everything your agents do in production: traces, tool calls, decisions, outcomes

Judgment turns that raw experience into structured signals: failure modes, behaviors, rubrics, evals

Teams close the loop, shipping agent improvements validated against real production evidence

You'll own problems end-to-end: talking to customers, defining what to build, building it, and iterating until it's great. This is not a role where you implement specs handed down.

What You Will Accomplish

Investigation interfaces: Design how engineers understand what their systems did and why. Long traces, tool calls, decisions, failures. How do you make a complex sequence of events legible in minutes?

Verification: Build the platform for verifying system changes: hosted simulated environments, trajectory replay, and monitors for unintended behavior changes.

The improvement loop: Build the workflows that turn production data into datasets, evaluations, and regression checks, so the path from "found a problem" to "verified a fix" feels like one motion.

The platform underneath: Workspaces, roles, permissions, billing, usage, and limits for teams running many workflows across many environments.

What You'll Bring

Experience building and scaling end-to-end production systems, from data layer to UI

Strong technical problem-solving skills, especially in fast-changing, ambiguous environments

A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship

Comfort working directly with customers to understand their needs and solve real-world problems

Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences