Product Manager, Order Fulfillment Logic (OFL)

Staples, Inc. is seeking a Product Manager focused on Order Fulfillment Logic (OFL), shaping and improving the digital capabilities that power order delivery across eCommerce experiences. This role partners across Transportation, Operations, Engineering, and Supply Chain to deliver scalable enhancements that improve customer satisfaction and business outcomes.

Location

Framingham, MA (onsite)

Salary

USD 89,000 - 121,000 per year

Role Summary

The Product Manager owns and enhances Order Fulfillment Logic (OFL) capabilities and contributes to product delivery across multiple interconnected systems and APIs. The position drives backlog planning, requirement translation, cross-functional execution, and ongoing optimization using product performance measurement.

Responsibilities

• Own and enhance Order Fulfillment Logic (OFL) capabilities, including carrier selection, delivery promise calculations, fulfillment routing, and transportation decisioning to support efficient order delivery and customer satisfaction.
• Partner closely with Transportation, Operations, Engineering, and Supply Chain stakeholders to gather requirements, prioritize enhancements, troubleshoot complex order flow issues, and enable new carriers, fulfillment capabilities, and network integrations.
• Lead product delivery across interconnected systems and APIs, translating business requirements into scalable solutions while supporting Agile ceremonies, sprint planning, release management, testing, and cross-functional execution.
• Define, manage, and prioritize the product backlog for assigned digital products, platforms, features, or capabilities.
• Collaborate with leadership and business stakeholders to align product priorities with digital strategy, customer needs, and business objectives.
• Translate customer insights, analytics, market trends, and stakeholder input into user stories, requirements, acceptance criteria, and product recommendations.
• Serve as a primary point of contact between business stakeholders and teams including engineering, UX, analytics, data science, and external partners.
• Prioritize user stories, bugs, enhancements, and technical work based on customer value, business impact, team capacity, dependencies, and delivery timelines.
• Monitor product performance using OKRs, KPIs, customer behavior data, feedback, and digital analytics to identify optimization opportunities.
• Identify and resolve complex product issues, dependencies, and roadblocks, escalating highly complex or out-of-policy matters as appropriate.
• Support discovery, experimentation, solution validation, and continuous improvement efforts to enhance digital product performance.
• Use AI productivity tools (such as Microsoft Copilot, Claude, or similar platforms) to accelerate product deliverables, including discovery synthesis, requirements development, backlog refinement, and stakeholder communications.
• Partner with engineering, analytics, data science, and UX teams to evaluate AI/ML-enabled opportunities, clarify desired customer and business outcomes, and support responsible testing and validation.
• Mentor less experienced team members by sharing product management practices, Agile knowledge, and digital product expertise.

Requirements

• Bachelor’s degree in Business, Technology, Product Management, Information Systems, Computer Science, Marketing, Engineering, or a related field (or equivalent work experience).
• 5+ years of related experience in product management, with a focus on eCommerce or digital products.
• Experience managing product backlogs, user stories, requirements, acceptance criteria, or feature prioritization.
• Experience working with engineering, UX, analytics, data science, or other technical teams to deliver digital products or platform enhancements.
• Experience managing the end-to-end lifecycle of digital products from conception through development, launch, and iteration.
• Experience using customer insights, digital analytics, KPIs, OKRs, or performance metrics to inform product decisions.
• Experience managing multiple priorities, dependencies, and stakeholders across cross-functional initiatives.
• Experience preparing written product documentation, stakeholder communications, roadmap updates, or product recommendations.
• Solid analytical and quantitative skills with a bias toward data-based decision making.

Technologies

• Microsoft Copilot
• Claude
• APIs
• AI/ML

Benefits

• Inclusive culture with associate-led Business Resource Groups
• 22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday)
• Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more

Additional Qualifications (What’s Needed)

• Strong analytical and problem-solving skills to make data-driven decisions.
• Excellent communication and interpersonal skills for effective collaboration with technical and non-technical teams.
• Agile and adaptable approach with a proactive mindset for handling challenges and identifying opportunities.
• Leadership and mentorship capabilities with a focus on team growth and development.
• Practical fluency with AI productivity tools and interest in applying AI thoughtfully to improve speed, clarity, and quality of product management work.

Preferred Qualifications

• Master’s degree in a related field.
• Professional certifications in Agile methodologies (e.g., Certified Scrum Master (CSM), SAFe Agilist, or PMI Agile Certified Practitioner (PMI-ACP)) or product management certifications (e.g., AIPMM Certified Product Manager).
• Experience supporting transportation, logistics, fulfillment, carrier management, last-mile delivery, supply chain technology, or order management systems.
• Experience working with APIs, system integrations, data flows, and interconnected enterprise applications, with the ability to translate complex technical concepts into business solutions.
• Experience operating within Agile product environments, including backlog management, sprint planning, requirements gathering, and collaboration with dedicated engineering and QA teams.
• Experience managing digital products across mobile, desktop, app, or eCommerce platforms.
• Experience with A/B testing, experimentation, product performance measurement, conversion optimization, or customer journey analysis.
• Experience working with AI/ML-enabled products, including personalization, automation, search, recommendations, decisioning, or similar data-driven digital capabilities.
• Experience partnering with data science or engineering teams to define success metrics, test AI/ML outputs, validate solution quality, or support responsible iteration after launch.
• Experience using AI productivity tools to support product discovery, requirements development, backlog management, analysis, or stakeholder communications.
• Experience working in B2B, retail, supply chain, office products, commercial eCommerce, or related industries.