# Senior Product Manager

**Company:** [Traba](https://hotfix.jobs/companies/traba)
**Location:** New York, NY, San Francisco, CA
**Role:** Product Management
**Salary:** $180k – $210k/yr
**Experience:** 5+ years
**Skills:** AI Agents, Product Strategy, product requirements, Prototyping, ai evaluations, llm systems, Workflow Orchestration, technical product management, ml collaboration, ai product development
**Posted:** 2026-07-27

> Founding Product Manager to build Traba's AI agent platform for industrial supply chain workflows. Design, prototype, and ship autonomous agents that reason, orchestrate tools, and execute work for light industrial customers. Requires 5+ years PM experience launching real AI agent systems from 0-to-1 in ambiguous startup environments.

## Job Description

## Responsibilities
- 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
- Socialize your work across all levels and departments while synthesizing diverse stakeholder feedback

## Requirements
- 5–7 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
- Strong technical abilities with the 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
- A strong work ethic and desire to build a category-defining company

## Nice-to-Haves
- Real agent builder experience: launched customer-facing AI products where the system took meaningful actions on behalf of users (agents that execute workflows, orchestrate systems, use tools, maintain context, and perform work autonomously)
- 0-to-1 operator: built products from scratch with real customers, understanding product-market fit realities
- AI-native problem solver: comfortable in environments where models evolve constantly
- First-principles thinker
- Customer-embedded builder: experience deeply embedding with early customers or forward deployed environments
- Builder mentality: inventive and scrappy problem solver
- Deeply collaborative across engineering, ML, operations, design, leadership, and customers

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