Principal Product Mgmt Tech, New Selection

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Selling Partners drive Amazons business: third-party sellers now account for over 60% of all units sold on Amazon. Their growth is our growth. The Selling Partner Growth (SPG) organization accelerates this growth through four strategic pillars: New Selection Success Optimizing for Long Term Growth Brand Building and Seller Profitability.

Within SPG our team owns the New Selection Success pillar with a clear mission: Make Amazon the best place globally for sellers to innovate test and scale successful new products.

As Amazon is transforming its Selling Partner experience into next-generation personalized agentic and adaptive in New Selection Success we also need to reimagine the entire new product journey for sellers: from helping them identify their next dollar opportunity to enabling simulations and customer validation with real and AI shoppers to accelerating launch and continuous optimization and scaling globally. Enter the New Product Accelerator (NPA): a suite of experiences and agents that revolutionizes how entrepreneurs take a product idea from inception to optimized sales with Amazon where AI does the heavy lifting to help sellers make faster higher quality decisions.

In this role you will be the Principal PMT for leading NPA. As the Single-Threaded Leader for agentic experience and architecture youll establish the vision principles and technical standards that enable a unified intelligent platform for new selection experiences. Your impact will be organizational and industry-defining. Youll orchestrate multiple agentic experiences (across web portal and conversational assistant) into a cohesive experience that adapts to diverse seller cohorts geographies and business modelswhile coordinating seamlessly with existing seller tools focused on new product workflows.


Key job responsibilities
1. Next-Gen Experience & Architecture: Define north star vision and end-to-end seller journey; establish unified architecture coordinating NPA with existing seller tools
2. Experience Quality & Seller Trust: Establish frameworks measuring AI guidance clarity and actionability; map seller journeys to identify friction points; build confidence in AI recommendations
3. UX Research & Benchmarking: Establish research frameworks for testing with diverse seller cohorts; benchmark against best-in-class platforms; define quality standards
4. Cross-Functional Leadership: Align agent roadmaps with experience vision across product science and engineering teams; communicate trade-offs to senior leadership
5. Technical Quality & Evaluation: Establish evaluation frameworks for AI outputs; define quality metrics testing approaches and quality gates
6. Performance & Reliability: Set latency targets availability SLAs and throughput requirements; define performance benchmarks; architect solutions meeting global reliability standards
7. Agent Consistency & Safety: Ensure consistency in tone workflows and voice; establish governance for agent behavior; define safety guardrails and content policies
8. Measurement & Evolution: Design metrics frameworks connecting experiences to business outcomes; define success metrics for technical performance and seller outcomes; drive ongoing analysis; ensure experiences adapt to changing needs

- Bachelors degree
- 8 years of technical product or program management experience
- Experience as a strong leader who can prioritize well communicate clearly and effectively influence across cross-functional teams
- Experience in verbal and written communication for executive level leaders
- Experience shipping innovative successful consumer products
- Experience with generative AI LLMs or multi-agent systems in production environments

- Experience in project management methodologies business analysis or process improvement
- MBA or MS degree
- Experience in experience design UX research or human-computer interaction
- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 179900.00 - 243400.00 USD annually


Required Experience:

Staff IC

Selling Partners drive Amazons business: third-party sellers now account for over 60% of all units sold on Amazon. Their growth is our growth. The Selling Partner Growth (SPG) organization accelerates this growth through four strategic pillars: New Selection Success Optimizing for Long Term Growth B...
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Key Skills

  • Business Development
  • Classroom Experience
  • Dayforce
  • Go
  • Cloud Computing
  • AWS
  • Teaching
  • Administrative Experience
  • Leadership Experience
  • negotiation
  • SAS
  • Data Analysis Skills

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