A

Amazon

Sells products online and rents cloud computing

Senior Product Manager - Tech - Tech

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in engineering, statistics, computer science, operations research, business analytics, information systems, or equivalent.
  • At least five years of technical product or program management experience.
  • Experience owning or driving roadmap strategy and definition.
  • Experience delivering product features and making product trade-offs.
  • Experience contributing to engineering discussions about technology decisions and strategy related to a product.
  • Experience managing technical products or online services.
  • Experience representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning.

Responsibilities

  • Lead product strategy and roadmap for AI/ML initiatives in the Sub Same Day delivery network.
  • Orchestrate collaboration among data scientists, engineers, operations teams, and business stakeholders.
  • Define and prioritize product requirements based on customer needs and business impact.
  • Develop business cases and return-on-investment analysis for new AI initiatives.
  • Drive technical requirement gathering and documentation.
  • Lead sprint planning and backlog prioritization sessions.
  • Monitor key performance metrics and adjust strategies based on data-driven insights.
  • Identify and resolve cross-team dependencies and conflicts.
  • Champion product innovations to senior leadership and key stakeholders.
  • Drive go-to-market and adoption strategies for new AI-powered features and capabilities.
  • Own the end-to-end product lifecycle, from problem framing and data pipeline design through model development, A/B experimentation, production deployment, and continuous iteration.
  • Make trade-off decisions across model accuracy, latency, infrastructure cost, and customer experience.
  • Drive technical debt reduction and platform scalability, ensuring AI systems are production-grade, fault-tolerant, and built for growth.
  • Partner with operations, logistics, finance, and science teams to ensure AI solutions are grounded in operational reality and deliver measurable business value.
  • Translate complex machine learning concepts into strategic recommendations for senior leadership.
  • Build scalable processes for feature prioritization, sprint planning, and release management across distributed engineering teams.

Desired Qualifications

  • Experience using analytical tools such as Tableau, QlikView, or QuickSight.
  • Experience building new tools and driving their adoption.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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