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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 deep enterprise relationships with manufacturing and logistics customers, proprietary data from millions of shifts, and backing from top-tier VCs (Founders Fund, Khosla Ventures, General Catalyst).
You will join as a founding member of the Agents team to build an agentic platform that synthesizes marketplace data and operates autonomously within customer supply chain workflows. This is a 0-to-1 product role at the frontier of applied AI—think Claude for light industrial businesses.
Key responsibilities include architecting product strategy for the AI agent platform, solving complex customer problems by balancing user needs against technical constraints and evolving AI capabilities, writing detailed product requirements, and partnering deeply with product engineers and ML teams. You will rapidly validate and prototype ideas alongside customers and design partners, design agent systems that reason through workflows, orchestrate tools, maintain context, and execute meaningful work. You'll define product behavior, evaluation systems, and quality frameworks to improve reliability and performance, use data to uncover patterns and answer key product questions, and evolve the AI product portfolio with deep understanding of model capabilities and system architecture.
The ideal candidate has 5–7 years of PM experience with a track record of launching products from scratch and driving meaningful customer outcomes. You must have evidence of building AI-native products or customer-facing agent systems—not just AI features, copilots, chat interfaces, or lightweight LLM integrations. You are a 0-to-1 operator comfortable with ambiguity, a first-principles thinker who understands systems and constraints deeply, and a customer-embedded builder who works shoulder-to-shoulder with early customers. You have strong technical depth, can operate as a peer alongside ML engineers, understand evaluations and system tradeoffs, and enjoy getting into technical details. You move quickly, embrace ambiguity, and have a builder mentality. You are deeply collaborative across engineering, ML, operations, design, leadership, and customers.
Reports directly to VP of Product.
