AmazonPosted 1d ago
Sr. Technical Program Manager, eXperience Measurement Science (XMS) at Amazon scores 33 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
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
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