Senior Product Manager, Technical, Shopping Personalization AI
Amazon · Tel Aviv-Yafo, Tel Aviv District, Israel
- On site
- Full-time
- $150,000 / year
- Tel Aviv-Yafo, Tel Aviv District, Israel
Job highlights
- Lead AI-powered shopping personalization features.
- Own product vision, development, and launch.
- Partner with engineering and science teams.
- Design and run large-scale experiments.
- Influence product strategy and drive optimization.
About the role
About the team
Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in GenAI, machine learning, big data, and distributed systems to deliver the best shopping experiences for our customers. Our vision is to enhance the customer shopping experience on Amazon by leveraging personalization techniques. We strive to save customers valuable time by tailoring their shopping journey to their individual needs, interests, and preferences. We identify personalization opportunities to develop and optimize customer experiences, thereby improving the overall discovery and shopping process across Amazon.
About The Role
Want to be at the forefront of creating personalized shopping experiences, and shape the future of how millions of Amazon customers worldwide discover and engage with our vast product selection? We would love to talk to you! We are seeking an industry-leading Senior Product Manager Technical, to own the vision, development, launch and continuous improvement of AI-powered features personalizing Amazon's shopping experiences, making it feel tailored to each customer's needs and preferences. As a Senior Product Manager, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. Our Senior Product Managers have the freedom (and encouragement) to experiment with new possibilities, improve, invent, and innovate on behalf of our customers. The right person has high levels of customer obsession, strong technical judgement, demonstrated ability to build scalable processes and products, and is an independent operator, skilled at working cross-functionally to deliver on behalf of customers.
Key job responsibilities
- Lead the vision, definition, and delivery of personalized shopping experiences that drive customer engagement, loyalty, and revenue growth.
- Partner with engineering and science teams to define the technical roadmap - making informed tradeoffs between model complexity, system constraints, and customer impact.
- Design and run experiments at scale to validate hypotheses, measure incremental value, and iterate rapidly based on data.
- Work backwards from customers - using behavioral signals, feedback loops, and quantitative analysis to continuously refine what we build.
- Monitor KPIs and conduct rigorous analysis to measure impact, identify opportunities, and drive continuous optimization.
- Influence product strategy across the broader Personalization portfolio, communicating effectively with senior leadership and cross-functional stakeholders.
Basic Qualifications
- Bachelor's degree in science, engineering, or a related technical domain
- 5+ years of experience in product management
- Experience owning and driving roadmap strategy, definition, and prioritization
- Experience contributing to engineering and science discussions around technology decisions and system design
- Strong quantitative skills - experience using data and metrics to back up assumptions, identify opportunities, and measure product impact
- Excellent written and verbal communication across technical and non-technical audiences, including senior executives
- Ability to work autonomously in a highly demanding and often ambiguous environment
Preferred Qualifications
- MBA or Master's degree in a technical field
- Experience building AI/ML-powered consumer products (Gen AI, LLMs, personalization)
- Experience with information retrieval, search, recommendation systems, or ML models in production
- Experience with A/B testing at scale and experimentation frameworks
- Proven track record of defining and shipping customer-facing products visible to millions of users
- Background in e-commerce, discovery, or content personalization
Inclusivity Statement
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Key skills/competency
- Product Management
- Technical Product Management
- AI/ML
- Personalization
- GenAI
- Shopping Experience
- Roadmap Strategy
- Data Analysis
- Experimentation
- Customer Obsession
Skills & topics
- Product Manager
- Technical Product Manager
- AI
- Machine Learning
- Personalization
- GenAI
- Shopping
- E-commerce
- Roadmap
- Strategy
- Experimentation
- Data Analysis
How to get hired
- Tailor your resume: Highlight AI/ML, product management, and e-commerce experience. Emphasize quantifiable achievements in personalization and experimentation.
- Showcase technical depth: Detail experience with GenAI, LLMs, recommendation systems, and A/B testing. Mention contributions to technical roadmaps and system design.
- Demonstrate customer obsession: Provide examples of working backward from customer needs and using data to refine products.
- Prepare for interviews: Be ready to discuss product strategy, technical tradeoffs, and driving results in ambiguous environments. Highlight leadership and cross-functional collaboration.
- Research Amazon's culture: Understand their leadership principles, especially customer obsession and bias for action.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities of a Senior Product Manager Technical for Shopping Personalization AI at Amazon?
- The Senior Product Manager Technical at Amazon is responsible for leading the vision, definition, and delivery of AI-powered personalized shopping experiences. This includes partnering with engineering and science teams on the technical roadmap, designing and running experiments at scale, analyzing data to measure impact, and influencing product strategy across the Personalization portfolio.
- What technical background is required for this Senior Product Manager role at Amazon?
- A Bachelor's degree in science, engineering, or a related technical domain is required. Preferred qualifications include an MBA or Master's degree in a technical field, and experience building AI/ML-powered consumer products, information retrieval, search, recommendation systems, or ML models in production. Experience with GenAI and LLMs is also highly valued.
- How important is customer obsession for this Senior Product Manager position at Amazon?
- Customer obsession is a core requirement for this role. You will be expected to 'work backwards from customers', using behavioral signals, feedback loops, and quantitative analysis to continuously refine AI-powered personalization features and ensure they meet customer needs and preferences.
- What kind of experience is needed to be successful as a Senior Product Manager Technical at Amazon?
- Success in this role requires at least 5 years of product management experience, with a proven ability to own and drive roadmap strategy, definition, and prioritization. Experience contributing to engineering and science discussions, strong quantitative skills, and excellent communication across technical and non-technical audiences are essential. The ability to work autonomously in a demanding environment is also key.
- Can you elaborate on the personalization technologies used by Amazon's Shopping Personalization AI team?
- Amazon's Personalization organization heavily leverages GenAI, machine learning, big data, and distributed systems. Specifically for this role, experience with AI/ML-powered consumer products, Gen AI, LLMs, personalization, information retrieval, search, recommendation systems, or ML models in production is highly preferred.
- What does 'working backwards from customers' mean in the context of this Amazon job?
- 'Working backwards from customers' is a key Amazon principle. For this role, it means starting with the customer's needs and experience, then developing the AI-powered personalization features and technologies required to meet those needs. This involves using customer feedback, behavioral data, and analytics to guide product development.