Staff Product Manager

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). Shipping AI features, copilots, chat interfaces, wrappers, or lightweight LLM integrations alone is not enough.
• 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. Understand building AI products (prompt rewrites, model shifts, reliability tradeoffs, 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, and rapidly ship based on direct feedback loops. Experience with forward deployed environments or customer-embedded product development models is highly valued.
• Technical depth: Comfortable operating alongside ML engineers and highly technical teams as peers. Understand evaluations, reason through system tradeoffs, prototype ideas, and participate deeply in technical conversations. Strong technical instincts.
• Builder mentality: Inventive and scrappy problem solver. Move quickly, embrace ambiguity, and create meaningful outcomes without relying on 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: $180,000 - $210,000 (exceptions may be made 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; One Medical, HSA, Talkspace, etc.