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TrabaTrabaNew York, NY

Staff Product Manager

Founding PM to build Traba's AI agent platform (Claude-like for light industrial supply chain). Design, ship, and iterate autonomous agents that reason, orchestrate tools, and execute workflows in customer operations. Requires 7+ years PM experience with real agent systems (not just copilots), strong technical instincts, and 0-to-1 startup building in ambiguous AI environments.

210k – 250k/yr
On-site7+ YOEProduct Management

About the role

What you’ll do

  • 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

What we’re looking for

  • Real agent builder: 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, launched, rebuilt, changed direction, killed ideas, and iterated toward signals; comfortable creating structures where no playbook exists
  • AI-native problem solver: move quickly in environments where models evolve constantly and assumptions regularly break; navigate prompt rewrites, model shifts, reliability tradeoffs, and capability cliffs
  • First-principles thinker: spend equal time thinking about why, how, and what; strong product judgment from deeply understanding systems and constraints
  • Customer-embedded builder: deeply embed with early customers, understand workflows firsthand, rapidly ship based on direct feedback loops (experience with forward deployed or customer-embedded models highly valued)
  • Technical depth: comfortable operating alongside ML engineers as peers; understand evaluations, reason through system tradeoffs, prototype ideas, participate in technical conversations; strong technical instincts
  • Builder mentality: inventive and scrappy problem solver; move quickly, embrace ambiguity, create meaningful outcomes without giant teams or excessive process
  • Deeply collaborative: work seamlessly across engineering, ML, operations, design, leadership, and customers

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
  • 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

  • Experience with forward deployed environments or customer-embedded product development models

Compensation

  • Base salary range: $180,000 - $210,000 (exceptions possible for exceptional candidates)
  • Highly competitive equity package
  • Benefits: 100% paid health, dental & vision; startup equity; dinner provided & stocked kitchen (NY); commuter benefit; team building events; Gympass; flexible PTO; additional perks (One Medical, HSA, Talkspace, etc.)

Skills

AI AgentsProduct Strategyproduct requirementsai/ml technical collaborationWorkflow Orchestrationevaluation systemsPrototypingllm systemsai product developmentcustomer embeddingtechnical depthfirst-principles thinking
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