AmazonWW Content Strat. & Analytics, Prime Video Licensing, Analytics, Operations, and Strategy (LASO)
Amazon is hiring a WW Content Strat. & Analytics, Prime Video Licensing, Analytics, Operations, and Strategy (LASO) in Culver City, United States. It pays $87k-$152k 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 SQL, Quicksight and Excel.
- Level classifies it as a mid-level role.
- Level lists 21,000+ other open roles at Amazon.
AI in this role
Performs content data analysis and develops AI-powered strategies for content moderation and rights management.
Key job responsibilities
• Strong experience in writing SQL queries, building Quicksight dashboards, and superior excel skills.
• Write high-quality, detailed and data-supported content strategy documents which are presented to senior executives
• Audit business metrics, perform deep dive analysis on problems to understand root causes and making decisions based on data
• Partner with internal Finance/Content Analytics teams to help continuously improve the internal tools, and models that are used to assess and to predict the customer engagement value of different types of content
• Perform analysis which quantifies the impact that different TV series and/or movies will have on customer engagement
• AI-Driven Enhancements for Prime Video & Prime Video Direct: Develop and implement AI-powered strategies to enhance content moderation, rights management, and policy enforcement for self-submitted content.
• AI Integration in Content Review Process: Leverage AI and machine learning to streamline and improve the efficiency of content review processes for Prime Video & Prime Video Direct submissions.
• Prompt Engineering for Content Analysis: Design and optimize AI prompts specifically for analyzing and categorizing self-submitted content, ensuring compliance with platform policies and industry standards.
• Maintain a can-do attitude and willingness and flexibility to solve problems at short notice, using any tools necessary
About the team
This team sits at the heart of Prime Video's licensing business and has ownership/insights across all of Prime Video's business lines (SVOD, TVOD, AVOD, etc) and all territories. You will be joining a team with high visibility to Prime Video leadership and high impact to the business.
Basic qualifications
- Experience with SQL
- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)
- Experience experience using data and metrics to measure impact and determine improvements
Preferred qualifications
- 5+ years of account management, business development, content licensing or finance experience
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, Culver City - 86,900.00 - 152,000.00 USD annually
USA, WA, SEATTLE - 86,900.00 - 152,000.00 USD annually
How we rate this
WW Content Strat. & Analytics, Prime Video Licensing, Analytics, Operations, and Strategy (LASO) at Amazon rates 65 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.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where content strategy was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, Data Analysis, Content Strategy, Machine learning, and SQL. 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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