What is the Amazon Marketplace?
More than 300 million customers shop in Amazon's marketplaces globally. Every day, customers browse, purchase, and review products sold by third-party sellers right alongside products sold by Amazon. Since 2000, Amazon welcomes companies of all sizes to offer their products, helping them reach hundreds of millions of customers, build their brands, and grow their business.
What is Amazon Strategic Account Services (SAS)?
The SAS team aims to accelerate the full potential of our Sellers, helping them to navigate the increasing complexity of the e-commerce space. Our team provides in-depth strategic consultancy using a data-driven, collaborative, and Customer-focused approach to achieve commercial goals of Amazon Sellers.
What is Seller Profitability work stream?
64% of surveyed sellers cite confusion about fees and costs as their top pain point — contributing to 30% annual attrition and over $1B in lost sales. The EU Seller Profitability team is tackling this problem through multiple initiatives: we engage directly with top sellers to identify issues and deliver savings, we up skill 300+ account managers and 15+ subject-matter experts to embed profitability thinking into every seller conversation, and we build internal tools and prototypes that close gaps in cost transparency and optimization. In parallel, we work with worldwide product teams to influence their roadmaps — ensuring seller-facing tools like Profit Analytics, meet real seller needs.
To accelerate our product-tech roadmap and solve this at scale, we are looking for a strong Senior Product Manager-Technical (PM-T) to envision, prototype, design, plan, and deliver product innovations that give sellers better cost transparency, optimization recommendations, and decision-support tooling.
Key job responsibilities
1. Use the Voice of the Seller from initial concept creation to launch — translating seller pain points around fees, fulfilment costs, and profitability into product requirements.
2. Drive product development efforts for cost-optimisation and profitability tools, including research, requirements definition, metrics analysis, technical specifications, development, and launch.
3. Develop new product capabilities by evaluating the seller cost landscape, understanding seller economics and value drivers across levers such as inventory placement, packaging optimisation, advertising efficiency, and fee transparency.
4. Write business and product requirements documents (BRDs/PRDs) and ensure clear communication and coordination of requirements to business, design, and development teams.
5. Work cross-functionally with worldwide fee/profitability product teams to manage bottlenecks, provide escalation management, anticipate and make trade-offs, and maximise seller benefit while balancing technical constraints.
6. Measure and analyse existing profitability tools for opportunities to innovate and improve — using seller adoption data, savings attribution, and feedback loops from account managers and SMEs.
7. Research and identify new cost-optimisation levers and automation opportunities, including AI/ML-powered recommendations.
8. Present confidently to Amazon senior management as well as other large audiences.
- 1. Experience in technical product management, program management or engineering
- 2. Bachelor's degree
- 3. Experience owning/driving roadmap strategy and definition
- 4. Experience with end-to-end product delivery
- 5. Experience with feature delivery and tradeoffs of a product
- 6. Experience contributing to engineering discussions around technology decisions and strategy related to a product
- 7. Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making
- 8. Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- 9. Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- 1. Familiarity with Amazon's seller ecosystem, Seller Central, or marketplace fee structures
- 2. Experience with AI/ML-powered product features or recommendation systems
- 3. Hands-on experience using AI tools for prototyping, data analysis, or workflow automation
- 4. Background in e-commerce, fintech, or cost-optimization domains
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