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Amazon
Alexa+ is Amazon's next-generation personal assistant powered by generative AI – more conversational, smarter, personalized, and built to get things done on any device.
The Alexa 3P Experiences team is on a mission to expand what Alexa+ can do for customers by building consumer-facing experiences with trusted third-party partners like Uber, Ticketmaster, Yelp, and more. Using frontier AI technologies – including Large Language Models (LLMs), Model Context Protocol (MCP), and Agent-to-Agent (A2A) capabilities – we create agentic experiences that connect customers with an ever-expanding selection of services through natural conversation.
We are hiring a Software Development Manager to build and lead a new engineering team in Bengaluru. This is a founding leadership role - you will recruit, hire, and develop a high-performing team of engineers while driving the technical vision and execution for consumer-facing 3P experiences and category scaling frameworks. You will own the end-to-end delivery of agentic AI experiences that reach hundreds of millions of Alexa customers across 500M+ devices worldwide, working directly with product, design, partner, and platform teams to ship category-defining capabilities at speed.
This role sits at the intersection of people leadership, AI-native systems engineering, and consumer product delivery. You'll establish engineering culture and practices, and drive technical and business outcomes in one of the fastest-moving areas of Alexa+. Alexa+ is scaling rapidly, and the 3P experiences are one of the critical areas. If you're excited about leading engineers who build with LLMs, MCP, and multi-agent architectures to create experiences that customers love, this is the role.
Key job responsibilities
1. Building, hiring, and developing a high-performing engineering team focused on 3P agentic experiences and category scaling frameworks
2. Defining the hiring bar and interview process for the engineering team, building a balanced team of SDE-1s, SDE-2s, and Senior SDEs who can deliver across the full stack, from LLM orchestration to partner API integrations
3. Setting the technical vision for your team's systems, including LLM orchestration, MCP integrations, partner API frameworks, and category scaling SDKs
4. Owning end-to-end delivery of consumer-facing 3P experiences — from design through launch and post-launch operational excellence
5. Driving engineering best practices across the team: operational excellence, security, quality, and AI-specific practices like agent evaluation and prompt engineering
6. Partnering closely with product management, design, and business development to define category strategy and deliver high quality experiences
7. Establishing a consistent project management framework and development processes to deliver high-quality software in rapid iterations
8. Mentoring and developing engineers at all levels, creating growth opportunities, and raising the technical bar
About the team
Alexa 3P Experiences is a dedicated organization within Alexa Domains, purpose-built to rapidly expand the choices and selection of agentic experiences on Alexa+. Building on early launches with marquee partners, our mission is to offer customers choice and expanded selection in Alexa's agentic capabilities – positioning Alexa to lead in the next generation of ambient AI interactions. We work closely with cross-functional teams across Alexa for core platform capabilities while owning the end-to-end consumer experience and category innovation.- 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
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