Product manager - Tech, Supply Chain Optimization Technology
AI in this role
In this role, you'll own the end-to-end product lifecycle for tools that help teams around the world make smarter, faster decisions through our Sales & Operations Planning (S&OP) teams. You'll work closely with scientists, engineers, and business leaders to design intelligent solutions that take the guesswork out of planning and accelerate how quickly we can launch and scale new capabilities across regions.
This isn't about incremental improvements. You'll be defining what's next, leveraging AI and automation into products that drive real impact across Amazon's supply chain. If you love building from zero to one, thrive in ambiguity, and want your work to impact millions of customers worldwide, we'd love to talk.
Key job responsibilities
• Define and own the product vision, strategy, and roadmap for AI-powered automation tools within Amazon's Supply Chain Optimization Technology organization.
• Lead the end-to-end product lifecycle, from ideation and requirements gathering through launch, iteration, and scaling across global regions.
• Partner with scientists, engineers, and business leaders to translate complex AI/ML capabilities into intuitive, high-impact products for Sales & Operations Planning (S&OP) teams.
• Identify and prioritize opportunities to automate and optimize supply chain planning processes, reducing manual effort and improving decision speed and accuracy.
• Drive cross-functional alignment across engineering, science, operations, and leadership to ensure successful delivery of product initiatives.
• Develop and communicate clear product requirements, user stories, and success metrics that guide development teams and measure business impact.
• Conduct deep dives into customer workflows, pain points, and data to inform product decisions and uncover new automation opportunities.
• Monitor product performance, gather feedback from stakeholders worldwide, and iterate rapidly to improve outcomes and expand adoption.
Basic qualifications
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- Experience in technical product management, program management or engineering
- Experience with end to end product delivery
- Experience in building and driving adoption of new tools
Preferred qualifications
- Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Product manager - Tech, Supply Chain Optimization Technology at Amazon rates 69 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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