A

Amazon

Sells products online and rents cloud computing

Senior Product Manager-T, GenAI Experimentation - Selling Partner Communities, Spc

Product ManagementConfirmed live in the last 24 hours
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • A bachelor's degree is required.
  • Experience owning or driving roadmap strategy and definition is required.
  • Experience with product feature delivery and trade-offs is required.
  • Experience contributing to engineering discussions about technology decisions and product-related strategy is required.
  • Experience managing technical products or online services is required.
  • Experience representing and advocating for varied critical customers and stakeholders during executive-level prioritization and planning is required.

Responsibilities

  • Apply generative AI and emerging AI capabilities to rapidly prototype, test, and launch novel community experiences.
  • Experiment with AI-powered features, including intelligent content generation, automated moderation, and personalized seller experiences, iterating quickly and learning from results.
  • Assess how agentic AI capabilities are reshaping product architectures and determine when autonomous agent patterns improve or complicate product design.
  • Own the end-to-end product lifecycle for large-scale community products, from working backwards through launch, adoption, measurement, and iteration.
  • Define product strategy and roadmap across seller-facing community experiences and internal tools for community management, moderation, and insight generation.
  • Reason from first principles by challenging assumptions and building solutions around core customer needs.
  • Distinguish one-way and two-way door decisions, moving rapidly on reversible decisions and applying appropriate rigor to irreversible choices.
  • Drive alignment across engineering, science, design, finance, policy, trust and safety, and international teams, influencing without authority.
  • Champion customer experiences by partnering with design teams and applying principles of utility, intuitiveness, and simplicity.
  • Own internal-facing product experiences that enable community managers and business teams to moderate at scale, surface seller sentiment trends, and generate actionable insights.
  • Translate seller pain points and sentiment data into product requirements and technical specifications; partner with engineering on architecture decisions, API design, and technical trade-offs.
  • Participate in architecture reviews, evaluate scalability decisions, performance trade-offs, and technical debt, and hold engineering teams to high standards for product solutions.
  • Understand the impact of technical backlog on the product’s future and prioritize operational excellence alongside feature delivery.
  • Understand product business context, including market dynamics, competitive landscape, and profitability drivers, and articulate how product decisions affect business outcomes.
  • Define success criteria and KPIs that distinguish output metrics such as adoption and engagement from outcome metrics such as seller satisfaction, sentiment improvement, and business impact.
  • Take calculated risks in pursuit of breakthrough results and set ambitious goals.
  • Represent Selling Partners using quantitative data, including forums analytics, sentiment analysis, and natural-language-processing-derived insights, and qualitative research such as user studies and focus groups; distinguish representative signal from anecdotal feedback.
  • Communicate product vision, status, and trade-offs to senior leadership through narratives, QBRs, and decision documents, and contribute to OP1/OP2.
  • Mentor other product managers and product managers-technical; participate in hiring and talent development.

Desired Qualifications

  • Experience using analytical tools such as Tableau, QlikView, and QuickSight is preferred.
  • Experience building new tools and driving their adoption is preferred.
  • Demonstrated experience leveraging generative AI tools to improve workflow efficiency and productivity, including crafting effective prompts and critically evaluating AI-generated outputs in a professional setting, is preferred.
  • Experience identifying opportunities to integrate AI solutions into products and services to drive business value is preferred.

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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