Sr. Pm-t, Genai Experimentation, Selling Partner Communities (spc)

Amazon Amazon · Big Tech · Seattle, WA · Project/Program/Product Management--Technical

Senior Product Manager, Technical (PM-T) role focused on applying generative AI to reimagine community experiences for Amazon's Selling Partners. The role involves rapid experimentation, defining product strategy, and shipping AI-powered features for both seller-facing and internal tools, including intelligent moderation and insight generation. It requires assessing agentic AI capabilities and owning the end-to-end product lifecycle.

What you'd actually do

  1. Apply generative AI and emerging AI capabilities to rapidly prototype, test, and launch novel community experiences — pushing into new frontiers and building what wasn’t previously possible
  2. Experiment relentlessly with AI-powered features — from intelligent content generation and automated moderation to personalized seller experiences — iterating quickly and learning fast
  3. Assess how agentic AI capabilities are reshaping product architectures and determine when autonomous agent patterns enhance versus complicate product design
  4. Own the end-to-end product lifecycle for large-scale community products, from working backwards (PR/FAQ, tenets, problem statement) through launch, adoption, measurement, and iteration
  5. Define product strategy and roadmap across a complex product suite spanning seller-facing community experiences and internal tools for community management, moderation, and insight generation

Skills

Required

  • Experience owning/driving roadmap strategy and definition
  • 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 have

  • Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
  • Experience in building and driving adoption of new tools
  • Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
  • Experience identifying opportunities to integrate AI solutions into products and services to drive business value

What the JD emphasized

  • generative AI
  • experiment rapidly
  • agentic AI capabilities
  • autonomous agent patterns
  • generative AI tools

Other signals

  • generative AI
  • experiment rapidly
  • build features and solutions
  • AI-powered community interactions
  • intelligent moderation
  • automated insight generation
  • push the boundaries
  • test new frontiers
  • deliver great user experiences
  • define the vision
  • align a diverse set of stakeholders
  • ship products
  • prototype, test, and launch novel community experiences
  • agentic AI capabilities
  • autonomous agent patterns
  • end-to-end product lifecycle
  • working backwards (PR/FAQ, tenets, problem statement)
  • launch, adoption, measurement, and iteration
  • define product strategy and roadmap
  • seller-facing community experiences
  • internal tools for community management, moderation, and insight generation
  • reason from first principles
  • challenge assumptions
  • avoid defaulting to past approaches
  • build solutions from the core customer need up
  • distinguish between one-way and two-way door decisions
  • drive rapid experimentation where reversible
  • ensure appropriate rigor for irreversible choices
  • drive alignment across a broad and diverse set of stakeholders
  • influencing without authority
  • champion exceptional customer experiences
  • partnering with design teams
  • grounding decisions in fundamental design principles
  • utility, intuitiveness, and simplicity
  • own internal-facing product experiences
  • enable community managers and business teams to moderate at scale
  • surface seller sentiment trends
  • generate actionable insights
  • translate seller pain points and sentiment data into clear product requirements and technical specifications
  • partner with engineering teams on architecture decisions, API design, and technical trade-offs
  • participate meaningfully in architecture reviews
  • probing scalability decisions, performance trade-offs, and technical debt implications
  • hold engineering teams to high standards for product solutions
  • understand the impact of technical backlog on the future of the product
  • prioritize operational excellence work alongside feature delivery
  • deeply understand the product’s business context
  • market dynamics, competitive landscape, and profitability drivers
  • articulate how product decisions impact business outcomes
  • define success criteria and KPIs
  • distinguish between output metrics (e.g., adoption, engagement) and outcome metrics (e.g., seller satisfaction, sentiment improvement, business impact)
  • take calculated risks in pursuit of breakthrough results
  • set ambitious goals
  • achieving 70% of a bold vision often creates more value than 100% of an incremental improvement
  • represent the voice of the Selling Partner
  • leveraging quantitative data (forums analytics, sentiment analysis, NLP-derived insights)
  • qualitative research (user studies, focus groups)
  • distinguishing representative signal from anecdotal feedback
  • communicate product vision, status, and trade-offs clearly to senior leadership
  • narratives, QBRs, and decision documents
  • contribute to OP1/OP2
  • mentor other PMs and PMTs
  • actively participate in hiring and talent development
  • Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
  • Experience in building and driving adoption of new tools
  • Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity
  • craft effective prompts
  • critically evaluate AI-generated outputs in a professional setting
  • Experience identifying opportunities to integrate AI solutions into products and services to drive business value