Level

Amazon

Program Manager, Merchandising Presentation

Amazon is hiring a Program Manager, Merchandising Presentation in Austin, United States. It pays $70k-$97k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions data management, program management and cross functional leadership among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 21,000+ other open roles on Level.

AI in this role

Own the item data lifecycle and system integrations for grocery space planning and planogram production.

data-managementprogram-managementcross-functional-leadershipprocess-improvementdocumentation
Do you like solving data problems that have a real impact on how products get to store shelves? The Merchandising Presentation team in Amazon's World Wide Grocery organization is hiring a Program Manager to own the item data lifecycle behind our space planning and planogram (POG) production. The team is ramping up system integrations with internal partners, and this role is right in the middle of that work — helping build new capabilities that matter across the business. You will manage product and item data flowing into and out of our space planning tool, making sure it is accurate and reliable for every downstream consumer. You will also work with merchandising, tech, and vendor teams to set data standards, fix quality issues, and keep POG production on track as we grow.

Key job responsibilities
- Own the item data program end to end — mapping, validating, and reconciling data across the systems that feed into and out of the space planning tool.
- Work with merchant teams, Merchandising Presentation Planners, engineering, and vendors to nail down data requirements, collect feedback, and set integration standards.
- Turn complex data flows into clear documentation, project charters, and status updates so stakeholders and leadership always know where things stand.
- Find and roll out process improvements that help item data management scale across reset rounds and merchandising cycles, clearing blockers along the way.
- Track project milestones, dependencies, and risks, and help cross-functional partners get aligned on what matters most.

A day in the life
Most mornings you will check data quality dashboards and triage any discrepancies before they affect upcoming resets. Over the course of the month you will connect with merchant partners to understand changing product assortments, collect feedback from Merchandising Presentation Planners on data gaps, and coordinate with engineering on integration work. Some days are heads-down in the item library; others are spent in working sessions getting teams on the same page about priorities and timelines. Weekly team syncs round things out — a chance to share updates and spot new partnership opportunities.

About the team
The Merchandising Presentation team makes sure every store planogram is built on accurate, complete item data so products land on shelves exactly as planned. We are investing in deeper system integrations that open up new capabilities across World Wide Grocery, and it is a great time to get involved. Our team runs on collaboration and genuine investment in each person's growth. You will have biweekly career-development conversations with your manager, weekly team syncs to explore cross-functional projects, and encouragement to build mentorship connections outside the immediate team so you stay plugged into the bigger picture at Amazon.

Basic qualifications

- 2+ years of program or project management experience
- 2+ years of industry work experience
- 3+ years of advanced Microsoft Word and Excel experience

Preferred qualifications

- Knowledge of SQL
- Experience working for Amazon or any Amazon subsidiary or affiliate
- Experience in requirement gathering and ability to write clear and detailed requirement document
- Experience using Microsoft Projects software
- Experience working in an analytical environment with cross-functional teams
- Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)

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, Irvine - 70,400.00 - 97,400.00 USD annually
USA, TX, AUSTIN - 55,600.00 - 97,400.00 USD annually

How we rate this

Program Manager, Merchandising Presentation at Amazon rates 0 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.

Classification

Little AI. AI is not part of the work.

  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

Data ManagementProgram ManagementCross Functional LeadershipProcess ImprovementDocumentation

Questions you could be asked

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

Adapt your resume

  • List these exact terms on your resume: Data Management, Program Management, Cross Functional Leadership, Process Improvement, and Documentation. 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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