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Logicbroker

SaaS platform for drop-ship automation

Retail Expert Product Manager

Product ManagementUpdated on Nov 13
Full-timeNew York, NY, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Business, Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.
  • At least 5 years of experience in Product Management, Business Analysis, Consulting, eCommerce, Supply Chain, or another technology-focused role; experience in retail, dropship, marketplace, EDI, or B2B commerce domains is ideal.
  • Ability to hold in-depth, credible business conversations with enterprise customers and engage senior retail stakeholders.
  • Hands-on experience using AI tools such as Claude or ChatGPT in daily work, and comfort using AI-assisted development or agentic/low-code tools to prototype or ship functionality; this skill is required and may be demonstrated in the interview.
  • Strong analytical and problem-solving skills, including the ability to interpret data and identify trends.
  • Written and verbal communication skills to convey technical details and executive-level business framing.
  • Organizational skills and ability to manage competing priorities.
  • Curiosity about emerging AI technologies and enthusiasm for experimenting with tools and new ways of working.
  • Collaborative mindset and willingness to learn and contribute across multiple disciplines.

Responsibilities

  • Serve as a credible, in-depth voice on retail business operations with enterprise customers, leading discovery, roadmap, and strategy conversations with retailer and supplier stakeholders across operations, merchandising, and executive teams.
  • Develop and maintain current understanding of retailer and supplier workflows across commerce, marketplace, and dropship ecosystems, including order orchestration, inventory synchronization, supplier compliance, and fulfillment models.
  • Gather customer insights through interviews, feedback, analytics, and market research to identify opportunities and inform product decisions.
  • Translate complex retail and managed-commerce workflows into product requirements, user stories, acceptance criteria, and business cases, using AI where it accelerates the work.
  • Use AI tools to accelerate research, analyze customer feedback, generate insights, and improve productivity throughout the product lifecycle.
  • Use AI-assisted development and prototyping tools to build and validate functionality, including prototypes and, in some cases, production-ready features.
  • Partner with Engineering and Design to deliver product enhancements using AI methodologies and direct AI-accelerated delivery on larger initiatives.
  • Monitor product performance and key metrics to identify opportunities for optimization and continuous improvement.
  • Experiment with AI tools and workflows that improve team efficiency, collaboration, and decision-making.

About the Company

Logicbroker

SaaS platform for drop-ship automation

Logicbroker provides a SaaS platform and RESTful API that helps retailers, brands, and eCommerce platforms automate drop-ship and manage supply chain data, enabling Electronic Data Interchange (EDI) with suppliers. The product works by users accessing the platform and API to map and process supplier and order data, automate drop-ship workflows, and convert data to and from EDI, plus analytics and vendor performance reporting. It differentiates itself through scalable technology paired with strong customer service and a focus on making legacy data usable in modern digital commerce, serving enterprise clients such as Rite Aid, Wine Enthusiast, and Kroger. Its goal is to help clients expand product assortments and improve efficiency and accuracy across the supply chain to boost eCommerce performance and scalability.

Company size
51-200
Company stage
Growth Equity (Venture Capital)
Total funding
$136.6M
Headquarters
Shelton, CT
Founded
2010

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