Sr. Technical Program Manager, eXperience Measurement Science (XMS)
Amazon is hiring a Sr. Technical Program Manager, eXperience Measurement Science (XMS) for a remote role open to applicants in United States. It pays $149k-$201k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions program management, data analysis and statistical modeling among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Senior Technical Program Manager owning global employee listening programs and data collection infrastructure at Amazon.
You will work across multiple science and software teams to own the end-to-end lifecycle of employee listening programs, from concept and architecture review through delivery and continuous improvement. You will develop fluency in the technical systems that underpin our listening infrastructure, including scheduling pipelines, data collection systems, and statistical models, in order to identify constraints, evaluate architectural trade-offs, and ensure solutions are fit for purpose and built for scale, accuracy, and operational excellence.
You will consult directly with business customers to understand their problems, frame the right research questions in partnership with science leads, and translate complex methodology and findings into accurate, decision-driving documents for non-technical audiences. You are the connective tissue between science, engineering, and business, ensuring solutions are technically sound, practically implementable, and clearly communicated.
The ideal candidate brings technical judgment developed through hands-on experience with managing programs in a science or analytics context, combined with a track record of managing complex, ambiguous programs across diverse stakeholder groups. You thrive in ambiguity, use data to guide decisions, and hold a high bar for accuracy and clarity in everything you communicate.
Key job responsibilities
- Own the full program lifecycle for a portfolio of employee listening programs, from requirements gathering through delivery, performance monitoring, and iteration, in close partnership with the eXperience Measurement Science team.
- Develop deep technical fluency in the question scheduling, data collection systems, and statistical approaches that power Amazon Connections; understand architecture, component dependencies, system limitations, and operational characteristics well enough to identify risks and trade-offs across design choices.
- Create thorough documentation for survey campaign deployment including content programs, target populations, sampling approach, and integrations with internal technical systems.
- Independently translate complex scientific methodology and findings into accurate, concise, customer-facing documents, including design documents, science business reviews, and program launch narratives.
- Identify and drive process improvement and automation opportunities across survey campaign development, content management, and scheduling operations, reducing manual overhead and increasing throughput without compromising quality or data integrity.
- Define and own key performance indicators for listening programs; use data to surface insights, identify performance anomalies, and guide program strategy.
- Represent the eXperience Measurement Science center of excellence with PXT and broader Amazon businesses, fostering relationships that enable successful outcomes.
About the team
The eXperience Measurement Science (XMS) team own the experience measurement strategy and execution for global Amazon, including active listening and experience priorities for corporate and WW Operations, operationalized via Connections and other data collection tools. We set and execute a scientific data collection strategy that underpins listening modeling, prediction, and insights across Amazon whilst prioritising a positive responder experience.
Basic qualifications
- 6+ years of technical product or program management experience
- 3+ years of working directly with engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
Preferred qualifications
- 3+ years of analytical, quantitative, communication, and presentations experience
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
Sr. Technical Program Manager, eXperience Measurement Science (XMS) at Amazon rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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.
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Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where program management was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
- Tell me about a project where cross functional leadership was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Program Management, Data Analysis, Statistical Modeling, and Cross Functional Leadership. 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.
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