Senior AI Product Builder - Transportation Technologies

Responsibilities

• Own the full product loop independently: AI-augmented discovery → story/spec → prototype → production PR → outcome measurement. You are accountable for the outcome, not just the handoff.
• Conduct customer discovery and use AI tools to synthesize research across tickets, interviews, behavioral data, and competitive signals.
• Demonstrate deep functional and technical knowledge of owned products end-to-end. Demo to merchants and partners; understand competitive landscape and key differentiators.
• Use AI tools to evaluate product metrics, identify usage patterns, and surface anomalies. Define success metrics and kill thresholds at spec time without coaching.
• Maintain a prioritized roadmap ranked by impact × speed. Use AI tools to synthesize competitive intelligence, market trends, and customer insight into strategic inputs.
• Evaluate whether a proposed solution fits ShipBob's architecture without Engineering translation. Understand service boundaries, data structures, and how merchant and partner API usage shapes data contracts.
• Route changes through prototype-then-PR. Write clear story/specs and review AI-generated code before raising. PR promotion rate improves consistently.
• Set experiment hypotheses with explicit kill thresholds. Make day-7 rollout/kill decisions on AI-surfaced data.
• This role will have overlap with US Central Time zone morning hours. Candidates are expected to be okay with working from 7PM-9:30PM IST.
• Additional duties and responsibilities as necessary.

Requirements

• 7+ years of product management, product engineering, or equivalent experience, with demonstrated hands‑on AI tool usage in a professional context.
• Proven ability to write story/specs that AI tools can act on directly — state machines, business rules, data contracts, edge cases — not narrative PRDs.
• Technical fluency: can read a data model, evaluate an API contract, and identify when AI-generated code deviates from the target architecture.
• Track record of shipping working prototypes or production code, not just Figma mocks or slide decks.
• Strong outcome ownership: sets success metrics and kill thresholds at spec time and tracks them after launch.
• Experience working in supply chain, fulfillment, logistics, transportation, or e-commerce technology.
• Comfortable operating in a fail-fast culture. Being wrong fast is a feature here — staying slow to look right is the failure mode.
• Excellent written communication: you write specs, not meeting notes.

Core Competencies

Demonstrates extensive experience in product management with a strong focus on AI tool utilization, outcome ownership, and technical fluency in data models and API contracts. Capable of synthesizing customer insights and competitive intelligence to drive product strategy and execution.