Sr. Product Manager, Buying & Forecasting, Canada Softlines

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Automation, Business Intelligence, Cost Control, Cross-Functional, Data Sets, Data Visualization Tools, Demand Forecasting/Planning, Establish Priorities, Event Management, Finance, Forecasting, Inventory Management, Inventory Planning, Metrics, Operations Management, Order Picking/Packing, Procurement Management, Product Management, Product Planning, Product Programs, Product/Service Launch, Productivity Management, Reporting Dashboards, Risk, SQL (Structured Query Language), Sales, Sales Forecasting, Supply Chain, Supply Chain Management, Supply Chain Operations, Tableau, Team Player, Time Management, Writing Skills
LOCATION
Seattle, WA
POSTED
30+ days ago

Canada Softlines - Product Manager, Buying & Forecasting

Canada Softlines team works with Apparel, Shoes, Luggage, Watches and Accessories brands to provide our customers with a broad range of fashion selection at sharp prices with fast delivery speeds. Due to the seasonal element of fashion - with an ever-changing catalog of new colors, product styles, and trends - our supply chain team often purchases inventory 6-8 months in advance to cater to make-to-order seasonal selection.

This buying and forecasting process is highly complex. It requires a high bar on demand forecasting accuracy, adherence to financial tenets, and disciplined inventory coverage planning to ensure our customers have the products they want available throughout the season while preventing overstock and margin erosion.

We are looking for a curious, self-driven, and passionate Product Manager to join the team. The Product Manager will work cross-functionally with Vendor Managers, central Buying and Forecasting teams, Finance, and other key stakeholders to determine requirements and execute the vision for a suite of tools that support and automate the buying, forecasting, and planning process for Softlines.

What You Will Be Doing:

  • Own the product and program roadmap for Softlines buying and forecasting, driving initiatives across three areas: growing topline through improved forecasting and automated buying, increasing team productivity through AI and automation, and reducing cost to serve through optimized sourcing and inventory management.
  • Lead the development and adoption of automated buying workflows to reduce manual intervention, improve purchase accuracy, and ensure timely inventory placement for seasonal and new product launches.
  • Partner with central forecasting teams to improve demand prediction accuracy, particularly for new products and lower-volume items where fashion seasonality and limited sales history make forecasting inherently difficult.
  • Build and refine tools and processes for high-traffic event planning, including forecast validation and inventory positioning ahead of major sales events.
  • Develop data-driven approaches to inventory optimization that balance customer availability with overstock risk across the season.
  • Engage with vendors to gain insight into new products, upcoming styles, and seasonal trends that inform buying and forecasting decisions.
  • Leverage AI and centralized analytics to democratize supply chain insights, reduce time spent on repetitive analysis, and make key operational metrics accessible across the organization.
  • Determine opportunity size of key enhancements, prioritize across initiatives, and oversee launch and training for end users including Vendor Managers and Supply Chain Managers.

What We"re Looking For:

  • Experience in in-stock management, demand forecasting, supply chain, or operations management
  • Strong SQL skills with the ability to write complex queries to extract, analyze, and transform large datasets
  • Experience building dashboards and reporting tools to surface operational metrics and drive decision-making
  • Strong skills in working collaboratively and cross-functionally with a track record of delivering results
  • Familiarity with seasonal or fashion buying cycles, automated buying systems, or inventory optimization
  • Experience with data visualization tools (e.g., QuickSight, Tableau, or similar BI platforms)
  • Comfort building practical, data-driven solutions to close capability gaps while partnering on longer-term systemic improvements
  • Superb business judgment with the ability to size opportunities, prioritize trade-offs, and influence without authority

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles