At a Glance
- Tasks: Lead a talented team to create AI-powered shopping experiences at Amazon.
- Company: Join Amazon, a leader in e-commerce and innovative technology.
- Benefits: Competitive salary, diverse culture, and opportunities for career growth.
- Other info: Dynamic environment with high visibility and strategic impact.
- Why this job: Shape the future of shopping with cutting-edge AI technology.
- Qualifications: Experience managing software engineers and delivering scalable systems.
The predicted salary is between 81000 - 99000 £ per year.
We are seeking a Software Development Manager to build agentic shopping experiences on Amazon. Alexa for Shopping (AFS) is Amazon's Shopping AI, a high-visibility generative AI investment within the Stores business built on large language models (LLMs). Our vision is for AFS to be an always-on personal shopping agent that learns what matters to each customer, anticipates their needs, and acts on their behalf. Beyond responding to requests, AFS will proactively recognize opportunities to help, suggest timely next steps, and follow through on goals that unfold over days, weeks, or months.
More specifically, this role is in a team building new software systems and customer experiences that will greatly expand AFS's availability to new cohorts of customers. The team is building agentic AI systems powered by LLMs, working at the intersection of frontier AI technology and one of the world's largest e-commerce platforms. This team is strategic and has visibility with leadership at the highest levels.
The role offers a chance to build and launch AI-powered customer experiences from the ground up, and to work closely with an exceptional group of product, engineering, and science leaders to shape the future of shopping at Amazon. If you are passionate about reinventing e-commerce, helping customers offload tedious shopping tasks to smart, autonomous AI, and building a team that does the same, this is a rare opportunity to define the future of agentic commerce at Amazon.
Key job responsibilities
- Shape the strategic direction and vision for agentic shopping experiences by connecting customer and business needs with emerging technical opportunities.
- Provide technical leadership, vision and career guidance to help your team grow and do their best work.
- Build an engineering culture of ownership, pride and operational excellence that delivers high-performing solutions, and drive best practices within your team and across the organization.
- Work closely with engineering, science, design, and product and program management in an agile environment to deliver the best technical designs and approaches.
- Anticipate bottlenecks, manage escalations and make smart trade-offs that balance business needs with technical constraints.
A day in the life
As a Software Development Manager on the AFS Agentic team, you will:
- Lead a highly talented team of SDEs building scalable software systems and customer experiences powered by AI and LLMs.
- Partner with product, program, engineering and science teams across AFS and the wider Amazon organization to clarify requirements and build execution plans.
- Unblock your team day to day while setting a strategic quarter- to year-long vision that improves how the team works and delivers better AI-powered experiences for Amazon's customers.
Basic Qualifications
- Experience managing a team of high calibre Software Engineers developing complex, world class, scalable software systems that have been successfully delivered to customers.
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems.
- Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment.
- 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 in leading the definition and development of multi tier web services.
- Experience partnering with product and program management teams.
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 building products leveraging large language models, generative AI, or agentic AI systems.
Software Development Manager - Agentic AI, Alexa for Shopping (Rufus) in London employer: Amazon.com, Inc
Amazon is an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Transfer Pricing Manager, you will benefit from a culture that values diversity and encourages professional growth through continuous learning and development opportunities. With a focus on meaningful work and a commitment to employee well-being, Amazon provides a unique platform for you to thrive in your career while making a significant impact in the EMEA region.
StudySmarter Expert Advice🤫
We think this is how you could land Software Development Manager - Agentic AI, Alexa for Shopping (Rufus) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Amazon.com, Inc or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace Software Development Manager - Agentic AI, Alexa for Shopping (Rufus) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Amazon.com, Inc.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Amazon.com, Inc and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Amazon.com, Inc
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Amazon.com, Inc uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
