Traba Staff Product Manager at Traba leads product strategy and development for AI agent platform in industrial supply chain. This founding role works with founders and teams to define workflows and build 0-to-1 applied AI products.
Responsibilities
We are looking for an entrepreneurial and experienced Product Manager to join as a founding member of the Agents team and help us build the next layer of Traba's product, an agentic platform that synthesizes the data flowing through our marketplace and operates autonomously inside our customers' supply chain workflows. Think Claude, but for Light Industrial businesses.
You'll embed deeply in our customers' operations, design and ship production agents that understand context, reason through ambiguity, make decisions, and execute work on behalf of users. This is a true 0-to-1 product role operating at the frontier of applied AI.
This role reports directly to our VP of Product.
Architect and steward product strategy for Traba’s AI agent platform
Solve complex customer problems by balancing user needs, technical constraints, and evolving AI capabilities
Write detailed product requirements and partner deeply with product engineers and ML teams
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
Define product behavior, evaluation systems, and quality frameworks that improve reliability and performance
Use data to uncover patterns and answer key product and system questions
Evolve our AI product portfolio with a deep understanding of model capabilities and system architecture
Visualize and communicate complex concepts from system behavior and evaluations to user experiences and business impact
Qualification
Real agent builder0-to-1 operatorAI-native problem solverFirst-principles thinkerCustomer-embedded builderTechnical depthBuilder mentalityDeeply collaborativeWhat you’ll bring
Required
Real agent builder. You have launched customer-facing AI products where the system took meaningful actions on behalf of users. We are intentionally setting a high bar here. Shipping AI features, copilots, chat interfaces, wrappers, or lightweight LLM integrations alone is not enough. You understand agents that execute workflows, orchestrate systems, use tools, maintain context, and perform work autonomously.
0-to-1 operator. You have built products from scratch with real customers and understand the realities of finding product market fit. You have launched, rebuilt, changed direction, killed ideas, and iterated toward signals. You are comfortable creating structures where no playbook exists.
AI-native problem solver. You move quickly in environments where models evolve constantly and assumptions regularly break. You understand that building AI products often means navigating prompt rewrites, model shifts, reliability tradeoffs, and capability cliffs.
First-principles thinker. You spend equal time thinking about why, how, and what. You understand that strong product judgment often comes from deeply understanding systems and constraints rather than applying generic playbooks.
Customer-embedded builder. You believe the best products are built shoulder-to-shoulder with customers. You have experience deeply embedding with early customers, understanding workflows firsthand, and rapidly shipping based on direct feedback loops. Experience with forward deployed environments or customer-embedded product development models is highly valued.
Technical depth. You are comfortable operating alongside ML engineers and highly technical teams as peers. You can understand evaluations, reason through system tradeoffs, prototype ideas, and participate deeply in technical conversations. You do not need to be an ex-engineer, but you should have strong technical instincts and enjoy getting into the details.
Builder mentality. Inventive and scrappy problem solver. You move quickly, embrace ambiguity, and know how to create meaningful outcomes without relying on giant teams or excessive process.
Deeply collaborative. You work seamlessly across engineering, ML, operations, design, leadership, and customers to bring new products to life.
What you’ll bring
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
