SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Traba is building an AI operating layer for the industrial supply chain, starting with contingent labor and expanding into broader operational workflows. The company has embedded itself deeply in manufacturing and logistics operations, creating proprietary data from millions of shifts and strong enterprise relationships. Backed by Founders Fund, Khosla Ventures, and General Catalyst.
As Staff Product Manager for the AI Agents team, you will be a founding member building the next layer of Traba's product—an agentic platform that synthesizes marketplace data and operates autonomously within customer supply chain workflows. This is a true 0-to-1 product role at the frontier of applied AI, comparable to Claude but purpose-built for light industrial businesses.
You will embed deeply in customer operations to design and ship production agents that understand context, reason through ambiguity, make decisions, and execute work on behalf of users. Working directly with founders, product engineers, ML teams, and early design partners, you will define workflows, shape product strategy, and build products while the underlying model ecosystem evolves rapidly.
Key responsibilities include architecting and stewarding product strategy for the AI agent platform; solving complex customer problems by balancing user needs, technical constraints, and evolving AI capabilities; writing detailed product requirements and partnering deeply with engineers and ML teams; rapidly validating and prototyping ideas with customers; designing agent systems that reason through workflows, orchestrate tools, maintain context, and execute meaningful work; defining product behavior, evaluation systems, and quality frameworks; using data to uncover patterns and answer key questions; evolving the AI product portfolio with deep understanding of model capabilities; visualizing and communicating complex concepts from system behavior to business impact; and socializing work across all levels while synthesizing stakeholder feedback.
You should have 7–10 years of product management experience with evidence of launching products from scratch and driving meaningful customer outcomes. Critical requirements include experience building AI-native products or customer-facing agent systems (not just AI features, copilots, or chat interfaces), strong technical abilities to work deeply with engineering and ML teams, ability to read evaluations and reason through system performance, experience in highly ambiguous startup environments with fast iteration, and deep familiarity with modern AI tools. A background in forward-deployed or customer-embedded product development is highly valued. You are a first-principles thinker comfortable with ambiguity, a builder with a scrappy mentality, and deeply collaborative across engineering, ML, operations, design, leadership, and customers.
