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Traba is building the AI operating layer for the industrial supply chain, starting with contingent labor in manufacturing and logistics. The company has embedded itself deeply in customer operations and now is expanding into broader operational workflows. Backed by Founders Fund, Khosla Ventures, and General Catalyst, Traba combines proprietary data from millions of shifts with deep enterprise relationships and applied AI to drive real productivity gains.
As Staff Product Manager for the AI Agents team, you will be a founding member architecting 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.
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.
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 with product 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; 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 qualifications 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. You are a first-principles thinker comfortable with rapid model evolution and capability changes, a customer-embedded builder who believes in shoulder-to-shoulder development, and a builder with inventive, scrappy problem-solving instincts. You work seamlessly across engineering, ML, operations, design, leadership, and customers.
