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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 embedded itself deeply in manufacturing and logistics operations, generating proprietary data from millions of shifts and maintaining strong enterprise relationships. Backed by Founders Fund, Khosla Ventures, and General Catalyst, Traba is now launching an agentic platform that synthesizes marketplace data and operates autonomously within customer supply chain workflows.
As Senior Product Manager for the Agents team, you will be a founding member building the next layer of Traba's product—an AI agent platform designed for light industrial businesses. This is a true 0-to-1 role at the frontier of applied AI. You'll embed deeply in customer operations to design and ship production agents that understand context, reason through ambiguity, make autonomous decisions, and execute work on behalf of users.
Key responsibilities include architecting and stewarding 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 closely with product engineers and ML teams. You'll rapidly validate and prototype ideas with customers and design partners, design agent systems that orchestrate tools and maintain context, define product behavior and quality frameworks, and use data to uncover patterns and answer critical product questions. You'll also evolve the AI product portfolio with deep understanding of model capabilities and system architecture, communicate complex concepts across all organizational levels, and synthesize diverse stakeholder feedback.
The ideal candidate has 5–7 years of product management experience with a proven track record of launching products from scratch and driving meaningful customer outcomes. You must have shipped customer-facing AI products where systems took meaningful autonomous actions—not just AI features, copilots, chat interfaces, or lightweight LLM integrations. You're a 0-to-1 operator comfortable with ambiguity, rapid iteration, and creating structures where no playbook exists. You move quickly in environments where models evolve constantly and understand the realities of navigating prompt rewrites, model shifts, reliability tradeoffs, and capability cliffs. You think from first principles, spend equal time on why/how/what, and believe the best products emerge from shoulder-to-shoulder customer collaboration. You have strong technical instincts, can operate as a peer alongside ML engineers, understand evaluations and system tradeoffs, and enjoy getting into technical details. You're inventive, scrappy, and collaborative across engineering, ML, operations, design, leadership, and customers. Deep familiarity with modern AI tools and hands-on experience building with them is essential.
