Labor Engineering PM II, Worldwide Grocery Stores (WWGS)

Amazon is hiring a Labor Engineering PM II, Worldwide Grocery Stores (WWGS) in Austin, United States. It pays $74k-$130k 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 labor engineering, time studies and data analysis among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Labor Engineering PM II responsible for time studies, workflow observations, and labor standards development for grocery operations.

labor-engineeringtime-studiesdata-analysisprocess-documentation

As a Labor Engineering PM II for Workforce Engineering (WFE) within WWGS Operations Business Support, you will execute the core labor engineering process — conducting time studies, performing workflow observations, analyzing task-level data, and developing labor standards that drive accurate staffing models across store formats. You will work closely with store operations teams to observe, measure, and document work processes, translating field observations into data-driven labor standards. This role requires strong analytical rigor, attention to detail, and the ability to manage multiple concurrent studies while delivering accurate, defensible results that directly impact store-level labor planning.

Key job responsibilities
Time Studies & Workflow Observation:
- Conduct time and motion studies across store departments to establish and validate labor standards
- Perform on-site and remote workflow observations to document task sequences, durations, and frequency
- Apply appropriate allowance factors (fatigue, personal, delay) to develop fair and accurate standard times
- Ensure study methodologies are consistent, repeatable, and statistically sound

Labor Standards Development & Maintenance:
- Develop, document, and maintain labor standards for assigned store departments or process areas
- Analyze task-level data to identify variances between actual and standard performance
- Update standards based on process changes, new store formats, or operational shifts
- Validate standards through periodic re-observation and data analysis

Data Analysis & Reporting:
- Perform quantitative analysis on labor data to identify trends, outliers, and opportunities for standards improvement
- Build and maintain reporting tools to track standards accuracy and coverage across assigned areas
- Present findings and recommendations to team leadership with clear, data-backed rationale

Process Documentation & Standardization:
- Create and maintain detailed process documentation (SOPs, task breakdowns, flow diagrams) for observed workflows
- Ensure documentation is clear, auditable, and accessible to stakeholders
- Contribute to WFE's methodology standards to ensure consistency across the team

Cross-Functional Collaboration:
- Partner with store operations teams to schedule observations, gather context, and validate findings
- Coordinate with other Labor Engineers to ensure standards align across departments and formats
- Support senior team members on larger-scale projects requiring multi-department analysis

Basic qualifications

- 3+ years of program or project management experience
- Experience using data and metrics to determine and drive improvements
- Experience working cross functionally with tech and non-tech teams
- Bachelor’s degree in Industrial Engineering, Operations Research, Business, or relevant field
- 3+ years of experience in labor engineering, industrial engineering, workforce planning, or process analysis within retail, supply chain, or manufacturing operations Strong understanding of time study methodologies
- Analytical rigor with attention to detail in data collection and statistical analysis
- Proficiency in Excel and data analysis tools for standards calculation and reporting
- Ability to observe and document complex workflows accurately and objectively
- Strong project management skills — ability to manage multiple concurrent studies and meet deadlines
- Clear written and verbal communication skills for documenting standards and presenting findings
- Comfort working in store environments and adapting observation plans based on operational realities
- Collaborative mindset with ability to build trust with store operations partners

Preferred qualifications

- Experience conducting formal time and motion studies in a retail or warehouse environment
- Familiarity with predetermined time systems (MOST, MTM, or similar)
- Experience with workforce management systems (UKG Pro, Kronos, or similar)
- Background in grocery or multi-format retail store operations
- Proficiency in SQL, Python, or similar tools for data analysis and automation
- Track record of delivering accurate, defensible labor standards that drive measurable operational outcomes

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, IL, Chicago - 74,200.00 - 129,800.00 USD annually
USA, TX, AUSTIN - 74,200.00 - 129,800.00 USD annually
USA, VA, Arlington - 74,200.00 - 129,800.00 USD annually
USA, WA, Seattle - 82,700.00 - 129,800.00 USD annually

How we rate this

Labor Engineering PM II, Worldwide Grocery Stores (WWGS) 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.

●●●● 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.

Key facts

Labor Engineering PM II, Worldwide Grocery Stores (WWGS) is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $74k-$130k a year.
The role is based in US, TX, Austin.
The job was posted on June 22, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Labor EngineeringTime StudiesData AnalysisProcess Documentation

Questions you could be asked

Tell me about a project where labor engineering was part of your work. What did you do?
Tell me about a project where time studies 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 process documentation was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Labor Engineering, Time Studies, Data Analysis, and Process 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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