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Salary: USD 180,000 - 210,000 / annual
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.
You will join as a founding member of the Agents team to build the next layer of Traba's product—an agentic platform that synthesizes marketplace data and operates autonomously within customers' supply chain workflows. This is a true 0-to-1 product role at the frontier of applied AI, where you'll design and ship production agents that understand context, reason through ambiguity, make 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, technical constraints, and evolving AI capabilities; writing detailed product requirements and partnering deeply with product engineers and ML teams; rapidly validating and prototyping ideas alongside customers and design partners; 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 product questions; evolving the AI product portfolio with deep understanding of model capabilities and system architecture; visualizing and communicating complex concepts from system behavior to user experiences and business impact; and socializing work across all levels and departments.
You will work directly with founders, product engineers, ML teams, and early design partners. The role reports to the VP of Product. The position is based onsite in New York City or San Francisco, five days per week, supporting real-time decision-making and creative problem-solving.
Requirements: 7–10 years of experience as a Product Manager; evidence of launching products from scratch and driving meaningful customer outcomes; experience building AI-native products or customer-facing agent systems (not just AI features, copilots, chat interfaces, or lightweight LLM integrations); strong technical abilities and ability to work deeply with engineering and ML teams; ability to read evaluations, reason through system performance, and prototype ideas; experience operating in highly ambiguous startup environments with fast iteration cycles; deep familiarity with AI tools and hands-on experience building with modern AI systems; desire to work at a startup and cover an exceptionally wide surface area; and strong work ethic and desire to build a category-defining company. The ideal candidate is a real agent builder with 0-to-1 operator experience, AI-native problem-solving skills, first-principles thinking, customer-embedded builder mentality, technical depth, builder instincts, and deep collaboration abilities.
