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Principal PMT-ES, AWS Customer Experience

Amazon is hiring a Principal PMT-ES, AWS Customer Experience in Seattle, United States. It pays $208k-$282k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Level classifies it as a lead role.
  • Level lists 20,000+ other open roles at Amazon.
  • The role was posted in the last few days.

AI in this role

Amazon Web Services (AWS) offers one of the broadest and deepest sets of cloud services in the world, and customers interact with those services through different modalities - web consoles, command line tools, software development kits, and technical documentation. Building and maintaining high-quality, consistent experiences across all of those modalities, for a large and growing catalog of services, is a significant product and engineering challenge.

We are looking for a Principal Product Manager - Technical to own the vision and roadmap for platforms that make it dramatically easier and faster to build, maintain, and continuously improve customer experiences. You will define a product strategy that raises the quality and consistency of what customers experience, while reducing the repetitive work involved in creating and keeping those experiences up to date. You will shape how modern automation and artificial intelligence are applied, responsibly and with the right human oversight, to deliver better experiences to customers faster.

This is a highly technical, highly strategic individual contributor role. You will operate at the intersection of deep technical architecture and broad organizational influence, setting direction that benefits a wide range of internal teams and, ultimately, millions of AWS customers. If you are energized by ambiguous, large-scope problems where the right product strategy has outsized leverage, this role is for you.

Key job responsibilities
- Own the long-term vision, strategy, and roadmap for platforms that help teams build and maintain the interfaces customers use to work with cloud services.
- Translate vision into clear, measurable deliverables, working backwards from customer and builder needs.
- Partner with and influence engineering teams and partner teams across the organization to align on a shared approach and drive adoption, frequently without direct authority.
- Set the quality, accessibility, and operational-safety bar for the product, and determine where automation can act independently versus where human review is required.
- Engage directly in technical design: evaluate architecture proposals for scalability, extensibility, and operational risk, and hold engineering teams to a high quality bar.

Basic qualifications

- 7+ years of working as a Technical Product Manager experience
- Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)

Preferred qualifications

- Experience using GenAI tools on daily basis to improve productivity
- Experience building applications using GenAI tools

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.



USA, CA, Santa Clara - 208,300.00 - 281,800.00 USD annually
USA, WA, Seattle - 181,100.00 - 245,000.00 USD annually

How we rate this

Principal PMT-ES, AWS Customer Experience at Amazon rates 64 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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