Senior AI Product Builder - Sortation Technology

Job Description Senior AI Product Builder – Sortation Technology

Location: Chicago, IL

• Remote (AL, AZ, CA, CO, FL, GA, KS, KY, IA, ID, IL, IN, LA, MA, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, RI, SC, TN, TX, UT, VA, VT, WA, WI)

Role Summary

As a Senior AI Product Builder at ShipBob, you own the full build loop for your product domain: discovery, story/specs, AI-augmented prototypes, and production-ready PRs. This is not a traditional PM role—you are a builder. You use the AI development toolchain (e.g., Claude Code, Driver.ai) to understand ShipBob’s codebase architecture, generate working code against the actual repo, and ship to production with minimum engineering rework. The minimum technical floor for this role is real: you must read ShipBob’s data model, evaluate AI-generated scaffolding for correctness, and write story/specs precise enough that AI tools can act on them without follow-up questions.

Machine Learning & Artificial Intelligence

You will be part of the Sortation Technology team , building products behind every point where ShipBob physically sorts inventory: inbound presort, outbound parcel sortation, B2B freight sortation, and returns sortation. This is one of the highest-leverage product surfaces at ShipBob—where small execution gaps compound into merchant-visible failures.

Key Responsibilities

• Own the full product loop independently: AI-augmented discovery → story/spec → prototype → production PR → outcome measurement
• Conduct customer discovery using 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
• Use AI tools to analyze product metrics, identify usage patterns, and surface anomalies; define success metrics and kill thresholds at spec time
• Maintain a prioritized roadmap ranked by impact × speed; use AI tools for competitive intelligence and strategic inputs
• Evaluate solution fit within ShipBob’s architecture without Engineering translation; understand service boundaries, data structures, and API contracts
• Route changes through prototype-then-PR; write clear story/specs and review AI-generated code before raising
• Set experiment hypotheses with explicit kill thresholds; make day-7 rollout/kill decisions on AI-surfaced data
• Translate merchant, marketplace, and channel requirements into sortation capabilities across the fulfillment lifecycle
• Close the gap between system signals and physical reality across every sortation surface
• Partner with Operations to turn product into adoption; work with FC, Sort Center, Inbound, and Returns leadership
• Move key metrics: outbound execution SLAs, inbound rebuild outcomes, B2B compliance, and returns processing metrics

Qualifications Required

• 5+ years of product management, product engineering, or equivalent experience
• 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
• 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
• Strong outcome ownership: sets success metrics and kill thresholds at spec time and tracks them after launch
• Experience in supply chain, fulfillment, logistics, transportation, or e-commerce technology; sortation technology experience is a strong plus
• Comfortable operating in a fail-fast culture
• Excellent written communication: writes specs, not meeting notes

Nice to Have

• Hands-on experience with AI development toolchain (e.g., Claude Code, Driver.ai, Cursor, Replit, V0, Figma AI)
• Working knowledge of TypeScript, React, or Python—enough to debug AI-generated code
• Experience with warehouse management systems, order management, carrier integration, or fulfillment operations at scale
• Prior experience transitioning a product team from traditional SDLC to an AI-native operating model

Compensation & Benefits Base Pay Range: $151,080 – $251,800 (eligible for discretionary bonus plan)

Machine Learning & Artificial Intelligence

• Medical, Dental, Vision & Basic Life Insurance
• Paid Maternity/Parental Leave Program…