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Onsite or remote • San Francisco+1💼 Full-time🗓 2026-06-25

Core

Define the rulebook and judgment calls for an AI-augmented quality and compliance system in manufacturing, acting as the human-in-the-loop for agent escalations.

Role type

Head of Quality & Compliance (AI-augmented operations)

Builds

AI agent playbooks, decision logic, and quality/compliance resolution frameworks

Domain

Manufacturing quality control and AI operations

Deliverable

production ML models | product features

Required skills

Manufacturing quality expertise, AI agent logic definition, escalation triage, rule-based system design, playbook versioning, supplier dispute resolution

Preferred skills

Experience leading quality functions at marketplaces, OEMs, or contract manufacturers

Technologies

AI agents, decision trees, prompt constraints

Responsibilities

Author quality and compliance playbooks governing AI agents, resolve escalated quality and compliance tickets, translate business rules into agent parameters and decision logic

Seniority

Senior, hands-on IC

Rewrite
## About the Role As Head of Quality & Compliance at Manufex, you will own two things that no agent can own on its own: the rulebook and the judgment call. On the rulebook side you will define the parameters, thresholds, guardrails, and decision logic that govern how the VQC agent, DFM agent, and compliance agent operate. Every acceptance criterion, every rejection threshold, every escalation trigger is something you write, validate against real order data, and continuously refine. The agents execute your playbook. You author it. On the judgment side every ticket, inspection dispute, non-conformance, or compliance issue that the agents cannot resolve autonomously will land with you. You are the human-in-the-loop for the Manufex quality system. When the VQC agent flags an ambiguous defect and cannot make a call, you make the call. When a supplier disputes a rejection and the agent lacks the context to adjudicate, you adjudicate. When a compliance verification fails in a way the agent doesn't have a resolution path for, you resolve it and then encode that resolution back into the playbook so it doesn't happen again. This is a foundational role that sits at the intersection of deep manufacturing quality expertise and AI-augmented operations. If you've led quality functions at a marketplace, OEM, or contract manufacturer and you're energized by the idea of building the quality system that an AI runs and being the authority it defers to when it can't this role is built for you. ## Responsibilities - Agent Playbook Parameters, Guardrails & Decision Logic - Own and author the quality and compliance playbook that governs all agents and defining the rules they operate by - Work closely with the Founding AI Engineer and product team to translate playbook logic into agent parameters, prompt constraints, and decision trees you don't need to write the code, but you need to be precise enough that someone else can - Version-control the playbook every rule change is documented, justified, and traceable back to a real escalation or quality event that prompted it - Escalation Handling Human-in-the-Loop - Serve as the terminal escalation authority for all quality and compliance tickets that agents cannot resolve autonomously - Triage and resolve esca
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