Amazon.com - Seattle, WA

posted 13 days ago

Full-time - Mid Level
Seattle, WA
General Merchandise Retailers

About the position

The Retail Pricing team prices everything shipped and sold by Amazon, worldwide, and cross-format. Our goal is to earn long term customer trust by offering the best prices to customers, across hundreds of millions of prices every day. Experimentation, automation, and scalability are a core part of our mission statement. In this role, you will seamlessly transition from being the enterprising leader securing organizational alignment on strategic initiatives to delivering new high-performance, fault-tolerant capabilities that improve our prices without human intervention. We are an interdisciplinary team of Product Managers, Engineers, and Scientists incubating and building day one solutions using state-of-the-art technology to solve some of the toughest business problems at Amazon.

Responsibilities

  • Envision, build and deliver high-performance, fault-tolerant capabilities to support high-fidelity prices without human intervention.
  • Define metrics that structure the ambiguities of new businesses that Amazon launches worldwide.
  • Communicate emerging vision to senior leaders.
  • Make strategic decisions to invest in new software versus new ways to leverage operations.
  • Work with engineering teams to find innovation opportunities that reduce errors in pricing.
  • Own the vision, strategy, science/technical requirements, roadmap and operations of pricing experimentation.

Requirements

  • Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent.
  • 5+ years of end to end product delivery experience.
  • Experience with feature delivery and tradeoffs of a product.
  • Experience contributing to engineering discussions around technology decisions and strategy related to a product.
  • Experience managing technical products or online services.
  • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning.

Nice-to-haves

  • Master's degree in business, economics, data or technical discipline.
  • Familiarity with optimization and change management tools and ML-based systems.

Benefits

  • Medical benefits
  • Financial benefits
  • Equity options
  • Sign-on payments
  • Comprehensive employee benefits package
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