Senior Product Manager

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