Principal PM-T, Customer Success Intelligence Team , AWS Specialist and Partner Organization

Amazon is hiring a Principal PM-T, Customer Success Intelligence Team , AWS Specialist and Partner Organization in Seattle, United States. It pays $207k-$280k 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 customer service role: the daily work is on AI products, without building the model.
The listed pay starts 110% above the typical customer service posting on Level.
Tools and skills the posting cites include product management, machine learning and system architecture.
Level classifies it as a lead role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Own the product lifecycle for AI-powered customer success intelligence systems and agent-based workflows at AWS.

product-managementmachine-learningsystem-architectureroadmap-planningagentic-automation

As a Principal Product Manager-Technical on the Customer Success (CS) Intelligence team within the AWS Customer Success Center of Excellence, you will own the product lifecycle for products and tooling that help AWS customers realize measurable business value after they deploy. This includes AI-powered systems and agent-based workflows that proactively surface risk, recommend interventions, and accelerate customer outcomes. You will set product vision, write PRFAQs, translate customer and partner requirements into technical specifications, design system architectures for ML-driven scoring and agentic automation, and work directly with engineering teams on sprint priorities and build decisions. You will run beta programs, UAT, and multi-region launches, measuring impact through how AWS and partners deliver customer outcomes.

You will work across AWS service teams, field teams, marketplace services engineering, data science, UX, and operations to build products that combine customer telemetry, predictive models, and intelligent agents — giving AWS and its partners real-time visibility into customer health and post-launch outcomes at scale.

This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own end-to-end go-to-market strategy for their technology domains. Partner teams own strategy, recruiting, development, and growth of key technology and consulting partners. Together they provide customers the expertise and scale to solve complex challenges.

Key job responsibilities
- Own the end-to-end product lifecycle — from vision and roadmap through launch and post-launch iteration — for CS Intelligence tooling and systems.
- Write PRFAQs, business requirements documents, and technical specifications that translate field, customer, and partner needs into platform capabilities.
- Design system architectures for data ingestion, scoring, and workflow automation that operate at AWS scale.
- Work directly with SDEs and engineering leads on sprint planning, backlog prioritization, and build/buy/partner trade-offs.
- Run beta programs, user acceptance testing, and multi-region launches with structured rollout plans.
- Define and track success metrics — from model-level performance to customer-facing outcomes — and use them to drive product decisions.
- Collaborate across AWS service teams, field engineering, data science, UX, and operations to deliver integrated customer-facing experiences.
- Navigate legal, compliance, privacy, and data-sharing gates required for product launches.
- Manage multiple concurrent product streams with different engineering teams, stakeholders, and delivery timelines.
- Present to all levels of AWS leadership, including VP-level strategy reviews

Candidates must be comfortable working closely with and across agile teams. This is a high-visibility, high-impact role. The right person is naturally customer-centric and thrives in a fast-paced environment that requires strong technical and business judgment and solid communication skills. This role is for someone with a proven ability to execute both strategically and tactically, managing multiple product streams in ambiguous, greenfield environments.

About the team
Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic qualifications

- 7+ years of technical product management, program management or engineering experience
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- Experience owning and driving product roadmap strategy and definition
- Experience writing PRDs, technical specifications, and business requirements documents
- Experience designing system architectures or defining technical requirements for distributed systems
- Experience with sprint planning, backlog prioritization, and agile development processes
- Experience launching products through multi-region readiness, legal, and compliance gates
- Track record of shipping products that serve technical audiences (engineers, product managers, or developers)

Preferred qualifications

- Experience in Go-To-Market, Business Development, Sales, or Consulting
- Experience building products that incorporate ML models, agentic systems, or applied AI in production environments
- Experience with customer success, post-launch adoption, or customer health platforms at enterprise scale
- Advanced degree in a technical discipline (e.g., Data Science, Machine Learning, Computer Science)
- Experience defining and measuring model-level metrics (precision, recall, coverage) alongside business outcome metrics
- Experience building products for partner ecosystems or multi-stakeholder platforms (e.g., marketplaces, partner portals)

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.

Pursuant to the San Francisco 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, Mountain View - 206,900.00 - 279,900.00 USD annually
USA, CA, San Francisco - 206,900.00 - 279,900.00 USD annually
USA, WA, Seattle - 179,900.00 - 243,400.00 USD annually

How we rate this

Principal PM-T, Customer Success Intelligence Team , AWS Specialist and Partner Organization at Amazon rates 65 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.

Key facts

Principal PM-T, Customer Success Intelligence Team , AWS Specialist and Partner Organization is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $207k-$280k a year.
The role is based in US, WA, Seattle.
The job was posted on August 19, 2026.
Seniority: lead.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementMachine learningSystem ArchitectureRoadmap PlanningAgentic Automation

Also common in customer service jobs at this level

AI agents LLM Generative AI SQL Python Snowflake

Pay

This job starts at: $207k
Typical customer service job: $99k

This posting starts 110% above the typical customer service job. See customer service jobs

Questions you could be asked

Tell me about a project where product management was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where system architecture was part of your work. What did you do?
Tell me about a project where roadmap planning was part of your work. What did you do?
Tell me about a project where agentic automation was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Product Management, Machine learning, System Architecture, Roadmap Planning, and Agentic Automation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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