At a Glance
- Tasks: Lead the vision and strategy for Amazon's innovative shopping AI, Alexa for Shopping.
- Company: Join Amazon, a leader in e-commerce and cutting-edge technology.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Shape the future of shopping with AI and make a real impact on customer experiences.
- Qualifications: Experience in technical product management and team leadership required.
The predicted salary is between 81000 - 99000 £ per year.
We are seeking a Senior Product Leader to build agentic shopping experiences on Amazon. Alexa for Shopping (AFS), formerly Rufus, 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.
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.
In this role, you will own the vision, strategy, and roadmap for AFS's agentic portfolio. The portfolio spans customer-initiated automations such as price and deal alerts and replenishment, proactive experiences where AFS recognizes opportunities to help, long-running goals that AFS follows through over weeks or months, and the platform capabilities that let teams across Amazon Stores build agentic experiences. You will lead a team of PM-Ts, each owning a set of features. You will set the portfolio's goals, decide where to invest, and hold the team to a high bar on customer outcomes. Success means customers save time, money, and effort, trust AFS to act within their instructions, and engage more, with progress measured in customer value per action.
To get there, you will shape the priorities of AFS Engineering and Science teams, pairing a clear product vision with rigorous technical execution. You will partner with multiple Applied Science and Engineering organizations to push new frontiers and build experiences that state-of-the-art models only now make possible. You will make data-driven portfolio decisions: which bets to scale, which to iterate, and which to retire, grounded in experiment results and customer signals. You will also hire, coach, and develop product leaders who invent novel LLM-driven interactions that balance technical feasibility with customer delight.
Key job responsibilities
- Build: Build and prototype hands-on. Use AI-native tools to turn ideas into working agentic prototypes in days, test them with customers and leaders, and to set engineering and science priorities.
- Dogfood the portfolio and competitive landscape and make it a team habit.
- Set the bar for agent quality, trust, and safety with Science and Responsible AI partners.
- Partner with platform teams to define the shared agentic primitives (triggers, mission state, actions, scheduling) that let builders across Amazon Stores launch experiences independently.
- Think Big: Own the multi-year vision, strategy, and roadmap for the agentic portfolio, and write the narratives (OP1, PRFAQs, strategy docs) that align senior leadership on where agentic commerce goes next.
- Define portfolio goals and metrics that tie agentic features to incremental customer and business value. Decide which bets to scale, iterate, or retire based on experiment results and customer signals.
- Invent new interaction models for agentic shopping, and set the direction for capabilities that state-of-the-art models only now make possible.
- Lead: Hire, coach, and develop a team of PM-Ts who are builders and strategic thinkers. Set clear ownership boundaries, raise the bar on product judgment, technical depth, and writing, and expect every PM to prototype and dogfood.
- Set priorities across Engineering, Science, UX, and partner teams, including Notifications, Personalization, Pricing, Search, and Ads, and resolve trade-offs across team boundaries.
- Run the review mechanisms (WBRs, goal reviews, launch readiness) that drive delivery, experimentation, and international expansion of the portfolio.
Basic qualifications
- Bachelor's degree
- Experience in technical product management, program management or engineering
- Experience managing teams
- Experience owning/driving roadmap strategy and definition
- Experience with end to end product delivery
- Experience leading engineering discussions around technology decisions and strategy related to a product
- Experience with feature delivery and tradeoffs of a product
Preferred qualification
- Experience delivering consumer software products and services in a high growth environment
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.
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 for more information.
Sr. Manager - Technical Product Management, Alexa for Shopping (Rufus) Agentic AI employer: Amazon
Amazon is an exceptional employer, offering a dynamic internship experience in the vibrant region of Yorkshire and the Humber. With a strong focus on employee growth, interns benefit from hands-on project delivery, collaboration with industry experts, and a clear pathway to graduate opportunities, all within a supportive work culture that values innovation and data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Manager - Technical Product Management, Alexa for Shopping (Rufus) Agentic AI
✨Join Product Management Meetups
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Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Amazon would be by your initiative!
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We think you need these skills to ace Sr. Manager - Technical Product Management, Alexa for Shopping (Rufus) Agentic AI
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Sr. Manager - Technical Product Management, Alexa for Shopping (Rufus) Agentic AI, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Sr. Manager - Technical Product Management, Alexa for Shopping (Rufus) Agentic AI position at Amazon. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Amazon
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
