Senior Product Manager (AI Agents)

Traba; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Traba is looking for an experienced Product Manager to join the Agents team and build an agentic platform that operates within our customers' supply chains. You’ll be responsible for embedding deeply in customer operations, designing production agents that reason and execute tasks autonomously.

This role requires collaboration with founders, engineers, and ML teams to define workflows and product strategy in a rapidly evolving AI landscape. A strong work ethic and desire to innovate are essential.

Qualifications

• 5 – 7 years of experience as a Product Manager.
• Evidence of launching products from scratch.
• Experience building AI-native or customer-facing agent systems.
• Strong technical abilities to work with engineering and ML teams.
• Comfortable in fast iteration cycles in ambiguous startup environments.

Responsibilities

• Join as a founding member of the Agents team to build Traba's product.
• Embed deeply in customer operations to design production agents.
• Work with founders and engineers to shape product strategy.
• Architect product strategy for AI agent platform.
• Rapidly validate and prototype ideas alongside customers.

Skills

Real agent building

0-to-1 operating

AI-native problem solving

First-principles thinking

Customer-embedded building

Technical depth

Builder mentality

Collaboration skills

Tools

AI tools

ML systems

Job description

Requirements

• 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
• 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

What the job involves

• 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
• You will work directly with founders, product engineers, ML teams, and early design partners to define workflows, shape product strategy, and build products while the underlying model ecosystem continues changing beneath us. The assumptions, capabilities, and constraints will evolve rapidly and the product will evolve with them
• 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
• Socialize your work across all levels and departments while synthesizing diverse stakeholder feedback