Skip to content
Level

Amazon

Senior Technical Program Manager, Experience Analytics (Core Data Products)

Amazon is hiring a Senior Technical Program Manager, Experience Analytics (Core Data Products) in Seattle, United States. It pays $149k-$201k 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.
  • Tools and skills the posting cites include technical program management, data platforms and analytics.
  • Level classifies it as a senior role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead delivery of core data products and customer experience metrics supporting AI-augmented and autonomous AWS workflows.

technical-program-managementdata-platformsanalyticscross-functional-leadershipmetrics
AWS Experience Analytics (EXA) is seeking a Technical Program Manager to lead delivery of the team's core data product portfolio. EXA exists to understand how customers experience AWS — and to turn that understanding into products and intelligence that teams across AWS can use. As AWS customers shift from traditional console-based building toward AI-augmented, agent-primary, and fully autonomous workflows, the way we measure, segment, and understand customers must fundamentally change. EXA is building the data products that make that possible.

You will own the delivery strategy and cross-goal coordination for three foundational data products: a unified customer lifecycle data platform, an AWS-wide customer experience metrics framework, and a customer segmentation framework. These products provide the semantic layer, identity systems, measurement standards, and governed data access that enable data-informed decision making across AWS.

This is not a milestone-tracking role. You will shape how a growing, cross-functional team of engineers, applied scientists, data scientists, and researchers deliver complex data infrastructure. You will simplify processes, eliminate dependencies, negotiate priorities across teams, and create the conditions for scientists and engineers to focus on their highest-value work. You will drive the extension and expansion of these products — increasing adoption, improving data quality, and ensuring they scale as AWS's customer base and product surface evolve.

The ideal candidate has experience managing complex data platform or analytics infrastructure programs, thrives in ambiguity, can hold the full picture of a multi-workstream program while diving deep into technical details when needed, and communicates with clarity and precision to audiences ranging from engineers to Directors and VPs.

Key job responsibilities
- Own the delivery strategy and cross-goal coordination for EXA's core data product portfolio: the CLARA unified customer data platform, the AWS Experience Metrics Framework, and the AWS Customer Segmentation Framework.

- Manage the lifecycle of complex, cross-functional data product initiatives from definition through delivery — identifying dependencies, negotiating priorities, unblocking teams, and making trade-offs between short-term delivery needs and long-term platform sustainability.

- Drive the extension and expansion of core data products across AWS — increasing adoption, onboarding new consumers, improving data quality, and ensuring products scale with evolving customer and business needs.

- Partner with engineering, applied science, and data science leads to aligning technical priorities with business outcomes and ensure workstreams reinforce each other.

- Drive stakeholder alignment across EXA and partner teams, including data engineering, product, and design leaders across AWS service teams.

- Streamline process. Create predictable delivery paths that reduce coordination overhead and enable the team to move faster.

- Write effective narratives to present program status and strategic recommendations.

- Identify and mitigate program risks before they become blockers. Find paths forward in difficult situations where priorities, resources, or technical approaches are in tension.

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, has not followed a traditional path, or includes alternative experiences, do not let it stop you from applying.

Mentorship and Career Growth We are continuously raising our performance bar as we strive to become Earth's Best Employer. That is why you will 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 is nothing we cannot achieve in the cloud.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience building software that interacts with data systems (databases, pipelines, APIs, or data platforms)

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience building conversational interfaces, agent-based systems, or AI-powered tools
- Experience with front-end development (React or similar frameworks) alongside backend/infrastructure work
- Experience with Python and cloud-based data infrastructure (AWS services preferred)
- Familiarity with ML model serving, NLQ interfaces, or knowledge base architectures
- Experience working in research or analytics teams where requirements emerge from discovery rather than predefined specifications

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 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, WA, Seattle - 148,700.00 - 201,200.00 USD annually

How we rate this

Senior Technical Program Manager, Experience Analytics (Core Data Products) at Amazon rates 60 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Technical Program ManagementData PlatformsAnalyticsCross Functional LeadershipMetrics

Questions you could be asked

  1. Tell me about a project where technical program management was part of your work. What did you do?
  2. Tell me about a project where data platforms was part of your work. What did you do?
  3. Tell me about a project where analytics was part of your work. What did you do?
  4. Tell me about a project where cross functional leadership was part of your work. What did you do?
  5. Tell me about a project where metrics was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Technical Program Management, Data Platforms, Analytics, Cross Functional Leadership, and Metrics. 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.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. You get your review by email within 24 hours.

Get new product jobs (Works on AI ●●●○ or higher) by email

One email a week with the new product jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Product roles that work on AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Amazon

Related searches

Same AI level

Jobs by city