Sr. PM-T, Customer Success Intelligence Team, AWS Specialist and Partner Organization
Amazon Web Services, Inc.· startup· Cloud Computing· Oct 13, 2026 · 14d ago
San Francisco, California, USA
In office
Full-time
Senior
$174K–$235K
5+ years exp
Job description
As a Senior Product Manager-Technical on the Customer Success (CS) Intelligence team within the AWS Customer Success Center of Excellence, you will drive 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 contribute to product vision, write PRFAQs, translate customer and partner requirements into technical specifications, support the design of 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 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
- Drive the product lifecycle for CS Intelligence tooling and systems, from requirements gathering and roadmap planning through launch and post-launch iteration, in partnership with senior leadership.
- Write PRFAQs, business requirements documents, and technical specifications that translate field, customer, and partner needs into platform capabilities.
- Contribute to system architecture decisions 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 launches with structured rollout plans.
- Define and track success metrics, from model-level performance to customer-facing outcomes, and use them to inform 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 concurrent product workstreams, coordinating across engineering teams, stakeholders, and delivery timelines.
- Present to senior AWS leadership, including Director-level strategy and product 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 who can execute both strategically and tactically, managing product workstreams in ambiguous, evolving 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.
- 5+ years of technical product management, program management or engineering experience
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- Experience contributing to product roadmap strategy and definition
- Experience writing PRDs, technical specifications, and business requirements documents
- Experience contributing to system architecture decisions or defining technical requirements for distributed systems
- Experience with sprint planning, backlog prioritization, and agile development processes
- Experience supporting product launches through readiness, legal, and compliance gates
- Track record of shipping products that serve technical audiences (engineers, product managers, or developers)
- 4+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- 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
- Advanced degree in a technical discipline (e.g., Data Science, Machine Learning, Computer Science)
- Experience with 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 amazon.jobs 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 amazon.jobs .
USA, CA, San Francisco - 173,900.00 - 235,200.00 USD annually
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Keywords to mirror
awsaimlgoagilemachine learning
- Platform
- amazon
- Effort
- medium
Benefits
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Health Insurance
Dental
Vision
401(K)
Paid Time Off
Parental Leave