Builder Jobs

About The Position

Requirements

• 5+ years of product management, product engineering, or equivalent experience, with demonstrated hands-on AI tool usage in a professional context.
• Demonstrated 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.
• Sound 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.

Nice To Haves

• Hands-on experience with the AI development toolchain (e.g., Claude Code, Driver.ai, Cursor, Replit, V0, Figma AI).
• Working knowledge of Python, SQL, or TypeScript — enough to debug AI-generated code and interrogate the data behind a forecast.
• Experience with inventory planning, demand forecasting, replenishment, or multi-node placement and distribution optimization at scale.
• Prior experience transitioning a product team from traditional SDLC to an AI-native operating model.

Responsibilities

• Own the full product loop end-to-end: AI-augmented discovery → story/spec → prototype → production PR → outcome measurement. You are accountable for the outcome, not just the handoff.
• Own the forecasting, placement, and replenishment decision surface end-to-end. Define the product contracts for demand forecasts and distribution recommendations, ship them into merchant workflows, and measure adoption and forecast accuracy.
• Run customer discovery yourself; 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 yourself; understand competitive landscape and key differentiators.
• Use AI tools to analyze 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.
• Participate in architecture reviews alongside Engineering as the product judgment seat — the person making the build-vs-buy-vs-defer call on the room’s behalf.
• Additional duties and responsibilities as necessary.

Benefits

• Medical, Dental, Vision & Basic Life Insurance
• Paid Maternity/Parental Leave Program
• Paid Holidays & Flexible Time Off Program
• Paid Sick Leave
• Wellness Days (1 day/quarter)
• 401K Match
• Comprehensive Benefits Package
• Access to AI and productivity tools from Day 1 at no cost