Mistral AISingapore
AmazonPosted 2d ago
Content Platforms Manager, XCM
Content Platforms Manager, XCM at Amazon scores 65 out of 100 on AI centrality, which makes it a Level 3 role on this board.
AI in this role
Content Platforms Manager defining taxonomy, metadata, and AI-assisted automation workflows for a global digital asset management platform.
The Hub is live across regions today and integrates mid-stream with the content pipeline rather than sitting at the end of it, with AI-assisted enrichment and new market onboarding already underway. The work spans the metadata and taxonomy model, the standards governing how assets enter the platform, the automation and AI that apply those standards at volume, and the lifecycle rules that keep content usable over time. This role works alongside workflow, integrations, and infrastructure counterparts, and directly with campaign, creative, production, and regional marketing teams, external agencies, and vendor partners. Standards have to be carried into practice, not just configured, so this role owns the model and runs the rollouts, pilots, and enablement that get teams working inside it.
We are looking for someone who thinks in systems, knows content deeply enough to know what breaks, and would rather build a standard the platform enforces than a document people are asked to follow. Clear communication matters as much as technical depth, because standards only hold if the teams using the platform understand them and apply them. Ambiguity is constant here: competing needs across teams, incomplete specifications, and content that was never organized consistently to begin with. Curiosity about AI as a working tool is expected, both in applying it to content operations and in judging whether the output can be trusted.
Key job responsibilities
- Owns the metadata and taxonomy model, including schemas, controlled vocabularies, naming standards, inheritance, and the folder and structural logic
- Develops and maintains standards for how assets enter the platform from production, agency, and regional sources, so content arrives usable rather than requiring correction after the fact
- Drives automation that applies standards at scale, so enforcement lives in the platform rather than in process
- Evaluates AI-assisted enrichment and tagging against standards, tuning the vocabularies and inputs it relies on
- Uses platform reporting to serve teams across the business, from recurring coverage and usage reports to ad hoc requests and business reviews
- Sets lifecycle standards covering versioning, retention, and how content stays usable and discoverable over time
- Defines the asset data the platform delivers outward, including the identifiers and structure downstream teams depend on, and represents those standards to other Amazon technology teams and vendor partners
- Contributes to platform governance, including how groups, permissions, and visibility rules are structured
- Manages rollouts and pilots that bring new teams, regions, and content types onto the platform, from scoping through launch
- Drives adoption with campaign, creative, production, and regional teams and external agency partners through onboarding, training, and enablement that keep standards consistent
About the team
Find out more about XCM here: https://www.amazon.jobs/content/en/teams/international-stores/xcm
Basic qualifications
- 4+ years of professional non-internship marketing experience
- Experience using data and metrics to drive improvements
- Experience building, executing and scaling cross-functional programs or marketing campaigns from concept to completion
- Experience in building and driving adoption of new tools
- Knowledge of metadata creation, management & remediation best practices
- Experience implementing repeatable processes and driving automation or standardization
- Experience with digital asset management tools
Preferred qualifications
- Experience managing external partners to develop marketing programs
- Bachelor's or Master's degree in information science, information technology, data science, computer science, engineering, mathematics, physics, or a related field or equivalent experience
- Hands-on experience with Orange Logic, including metadata configuration, reporting, and workflow
- Experience applying AI to content operations, such as automated metadata generation, content intelligence, or agent-based workflows, and judging where the output can be trusted
- Breadth across DAM or MAM platforms such as Tenovos, Nuxeo, Bynder, Widen, or Adobe AEM
- Experience leading rollouts or change management across regions or external partners
- Experience with content data integrations, including identifier and mapping strategy
- Experience defining asset lifecycle standards, including versioning, retention, and discoverability
- Experience analyzing content data at volume to surface quality and coverage gaps
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.
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, Santa Monica - 109,100.00 - 160,000.00 USD annually
USA, NY, New York - 120,000.00 - 179,600.00 USD annually
USA, WA, Seattle - 109,100.00 - 160,000.00 USD annually
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where taxonomy was part of your work. What did you do?
- Tell me about a project where metadata was part of your work. What did you do?
- Tell me about a project where content operations was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where change management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Taxonomy, Metadata, Content Operations, Automation, and Change Management. 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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