Sr. PM-T, GenAI Experimentation, Selling Partner Communities (SPC)

Key job responsibilities

• 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
• Experiment relentlessly with AI-powered features — from intelligent content generation and automated moderation to personalized seller experiences — iterating quickly and learning fast
• Assess how agentic AI capabilities are reshaping product architectures and determine when autonomous agent patterns enhance versus complicate product design
• 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
• 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
• Reason from first principles — challenge assumptions, avoid defaulting to past approaches, and build solutions from the core customer need up
• Distinguish between one-way and two-way door decisions; drive rapid experimentation where reversible, and ensure appropriate rigor for irreversible choices
• Drive alignment across a broad and diverse set of stakeholders — including engineering, science, design, finance, policy, trust & safety, and international teams — influencing without authority
• Champion exceptional customer experiences by partnering with design teams, grounding decisions in fundamental design principles — utility, intuitiveness, and simplicity — rather than personal preferences
• 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 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 and prioritize operational excellence work alongside feature delivery
• Deeply understand the product’s business context — market dynamics, competitive landscape, and profitability drivers — and articulate how product decisions impact business outcomes
• Define success criteria and KPIs that distinguish between output metrics (e.g., adoption, engagement) and outcome metrics (e,e.g., seller satisfaction, sentiment improvement, business impact)
• Take calculated risks in pursuit of breakthrough results — set ambitious goals, understanding that achieving 70% of a bold vision often creates more value than 100% of an incremental improvement
• Represent the voice of the Selling Partner by leveraging quantitative data (forums analytics, sentiment analysis, NLP-derived insights) and qualitative research (user studies, focus groups), distinguishing representative signal from anecdotal feedback
• Communicate product vision, status, and trade-offs clearly to senior leadership through narratives, QBRs, and decision documents; contribute to OP1/OP2
• Mentor other PMs and PMTs; actively participate in hiring and talent development

  Basic Qualifications

  • Bachelor's degree
  • 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

  Preferred Qualifications

  • 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