Software Development Manager III, EU Off-Amazon Selection, EU International Technologies

Off-Amazon Selection (OAS) team aims to make worldwide selection discoverable and shoppable for its customers using large language models, and Agentic AI. In EU Off-Amazon Selection (EU OAS), we bring OAS to customers in Amazon's European stores building and owning OAS customer experiences and systems covering for multilingual, multi-currency and multi-country usecases within the constraints of EU regulatory setup.

We are looking for a Software Development Manager to setup and lead the EU OAS engineering team in Hyderabad. As its founding manager, you will hire a full team comprising of software development, machine learning and support engineers, set the technical direction for EU OAS engineering, and lay its foundations. You will lead your team's work from the first launches to scale across Amazon's European stores, and take on more of OAS as the program grows in the coming years.

You will build from scratch with a large platform team beside you. EU OAS is part of Localization group, whose platform processes tens of millions of products every day with machine translation, large language models and machine learning quality checks. You will reuse what already works at Amazon scale, partner with its engineers and scientists, and use that head start to make EU OAS bigger, faster.

The problems are new and hard. Your team will build catalog, discovery and commerce systems that take in product information in many formats and levels of quality, decide what is accurate and eligible to show customers, match it to the Amazon catalog, and help customers discover, evaluate and buy it.


If you want to build a team and a customer facing product from the start across 10 EU Stores, with the newest AI and a large platform behind you, we would love to talk to you.

Key job responsibilities
- Hire, develop and lead the founding team, and set a high bar for every engineer you hire and grow.
- Own the technical vision, roadmap and architecture for your team's catalog, discovery and commerce systems, from the first launches to scale across Amazon's European stores.
- Build and run production systems that use large language models and AI at internet scale.
- Run the team AI-native from day one, with engineers using AI coding agents across design, coding, testing and operations.
- Own operational excellence, including on-call, health metrics that catch issues early, and regular operational reviews.
- Turn ambiguous problems that span teams and time zones into clear plans with owners and dates, and lead the designs, roadmaps and business reviews that set the team's direction.

A day in the life
You might start the day reviewing the design for a service that checks product data for a new European store, then join a working session with scientists on how a large language model should match products to the Amazon catalog across languages. You will weigh in on architectural trade-offs, and sequence a multi-quarter roadmap against ambiguous requirements. You will invest in your people through 1:1s, career conversations, hiring, and coaching. In the afternoon you hold one-on-ones and a hiring debrief, and review experiment results with product and science partners worldwide.


About the team
EU OAS sits in the larger Localization team that makes Amazon's selection available to customers in their own language across Amazon's stores. The new Hyderabad team will be the dedicated engineering team for EU OAS. Our program and operations teams already work in Hyderabad, and our engineering, science and product teams work from Luxembourg, Paris and other European cities. We build AI-native, with AI coding agents across design, coding and testing, and we build reusable building blocks so each launch makes the next one faster.

Basic qualifications

• 3+ years of engineering team management experience
• 7+ years of engineering experience
• 8+ years of leading the definition and development of multi tier web services experience
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
• Experience partnering with product or program management teams
• Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems

Preferred qualifications

• Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
• Experience leading teams that build and run machine learning, large language model or agentic AI systems in production for large-scale catalog, search, discovery or e-commerce systems

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