About the Role:

We are looking for a Senior Manager, Software Development to lead the Selection Circularity engineering pillar within Selection Excellence Technology (SET), part of EU INTech. This role owns the technology strategy and delivery for Amazon's circular economy, sustainability, and repair initiatives across European stores.

You will lead a team of software development engineers and managers building the technology that helps customers make informed, sustainable purchasing decisions and enables sellers to participate in circular commerce at scale. Your work will directly impact how millions of EU customers discover product durability, environmental scores, repair options, and compliance with evolving EU sustainability regulations (ECGT, Digital Product Passport, Environmental Score).

This is a role where regulatory complexity meets customer experience innovation. The EU is the global leader in sustainability regulation, and Amazon needs technology leaders who can translate regulatory requirements into customer-facing features that drive both compliance and competitive advantage.

• Key job responsibilities
• Lead and grow a team of SDEs and SDMs delivering circularity and sustainability technology across EU stores
• Own the technical strategy and roadmap for Selection Circularity, including Durability Index, Digital Product Passport (DPP), Environmental Score, warranty repair availability, and ECGT compliance
• Partner with Product Management, Science, and Business teams to define and deliver features that increase sustainable selection visibility and customer trust
• Drive engineering excellence: system design, operational health, code quality, and delivery velocity across the charter
• Collaborate with WW teams (Retail, Compliance, Seller Experience) to build solutions that scale globally while meeting EU-specific regulatory requirements
• Own the operational metrics for your charter, including repair availability targets (76%→90%), circular demand goals, and compliance deadlines
• Recruit, develop, and retain top engineering talent in a competitive European market
• Represent the team's technical work to senior leadership (VP, SVP) in business reviews, QBRs, and strategic planning

About the team
Selection Excellence Technology (SET) is an engineering organization within EU INTech.

Our Vision: SET makes Amazon the preferred place to shop for customers by providing selections they want, at the right price, delivered the way they expect, with choices that build lasting customer trust.

Our Mission: We achieve our vision by delivering technology that makes selection excellent across availability, pricing, delivery experience, and circularity for customers and selling partners across stores.

SET is organized around five pillars, each aligned to a distinct customer outcome: Selection Availability & Intelligence, Selection Parity & Buyability, Selection Pricing, Selection Delivery Experience, and Selection Circularity. This role leads the Selection Circularity pillar.

Basic Qualifications

• 10+ years of software engineering experience, with 5+ years managing engineering teams
• Experience leading multiple concurrent engineering programs in an Agile environment
• Track record of delivering large-scale distributed systems in production
• Experience partnering with product management, science, and business stakeholders
• Strong technical background in system design, API architecture, and cloud infrastructure (AWS preferred)
• Experience hiring, mentoring, and growing technical talent across multiple levels

Preferred Qualifications

• Experience with EU regulatory technology (sustainability, compliance, environmental labelling)
• Experience building customer-facing features at scale in e-commerce or retail
• Familiarity with circular economy concepts: product lifecycle, repair, refurbishment, environmental scoring
• Experience working in a multi-country, multi-language European environment
• Track record of translating ambiguous regulatory requirements into clear technical roadmaps
• Experience with machine learning / data science partnerships (e.g., product attribute extraction, classification)
• MBA or advanced degree in Computer Science, Engineering, or related field is a plus but not required

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