Senior Technical Product Manager
Chewy
- Location
- Boston, MA
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Salary
- $141k – $225k/yr
- H-1B history
- 90 approvals (FY2023)
- Posted
- Sep 18, 2026
Skills
About this role
Job Description
Our Opportunity The Inbound Technology and Data Science team is an integral part of Chewy’s Operations Technology organization. Our team builds the products and science-based capabilities that maintain a healthy flow of inbound volume across Chewy’s 13 core fulfillment centers, ensuring our network has the right inventory and labor in place to serve pet parents. We are seeking a Senior Technical Product Manager to define the vision, strategy, and roadmap for Chewy’s inbound planning products. This role will lead the evolution of our 13-week planning process from manually coordinated workflows toward scalable, automated, and science-based solutions. This highly visible and cross-functional role will partner with Engineering, Data Science, Replenishment, Transportation, In Stock, and Fulfillment Center Operations teams. You will be responsible for ensuring that the ecosystem of inbound products and teams works together effectively to support near-term operational needs and Chewy’s long-term growth. The ideal candidate is a clear communicator and trusted partner who uses data to influence decisions, align senior leaders, and translate complex supply chain challenges into scalable technical solutions. What You’ll Do Define and drive the product vision, strategy, and roadmap for Chewy’s inbound planning capabilities, with a focus on automation, scalability, and science-based decision-making. Own the technical products supporting the 13-week inbound planning process across Chewy’s 13 core fulfillment centers. Identify opportunities to innovate and improve how inbound volume, labor, inventory, capacity, and operational constraints are planned across the fulfillment network. Partner with engineering and data science teams to translate complex business and operational needs into clear product requirements, technical capabilities, and use cases. Work alongside engineering and data science throughout the development lifecycle to scope, test, launch, and continuously improve inbound planning solutions. Coordinate across Replenishment, Transportation, In Stock, and Fulfillment Center Operations teams, including both business and technology partners, to align roadmaps, manage dependencies, and ensure the broader product ecosystem works together effectively. Build trust with stakeholders by using data to frame problems, evaluate tradeoffs, and drive clear and objective decisions. Influence senior leaders and cross-functional partners to establish shared priorities and alignment on inbound planning strategies. Define and track key performance indicators that measure planning quality, network health, operational efficiency, and product impact. Develop clear product documentation, including vision documents, roadmaps, business requirements, user stories, and leadership updates. Identify risks and dependencies early, establish mitigation plans, and communicate changes or tradeoffs clearly to stakeholders. Stay current on emerging technologies and industry trends in supply chain planning, automation, optimization, and data science to inform product strategy and drive innovation. What You’ll Need Bachelor’s or master’s degree in Computer Science, Engineering, Supply Chain, Operations Research, Business Administration, or a related field, or equivalent professional experience. 5+ years of experience as a Technical Product Manager or in a comparable product role, owning and driving complex technical roadmaps from strategy through execution. Demonstrated experience translating complex business and operational challenges into scalable technical products and clear requirements. Proven ability to develop product vision documents, roadmaps, business requirements, user stories, epics, and use cases and to work effectively with agile development teams. Experience partnering closely with engineering and data science teams throughout product discovery, development, testing, launch, and iteration. Strong analytical and