OPM, AI&Automation, Accessories Operations team
Amazon - Shenzhen, CHN
Posted May 28, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $61,842 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +1.9% - Slower
Matched to SOC 11-1021 - Operations aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
OPM, AI&Automation, Accessories Operations team Shenzhen, CHN As an experienced Operations Program Manager (OPM), you will help the team enhance and advance the way we 'traditionally' manage programs towards more automated and AI-assisted approaches. With a deep understanding of current tools, methods, and operational workflows, you have an unquenchable desire to continuously find ways to 'do more with less', -evolving current practices via identification and deployment of a host of available AI tools. You will champion the training, roll-out, and continuing support of these new tools and methods, becoming recognized as the organization's subject matter expert in AI-enabled program management. Key job responsibilities • AI & Automation Evangelism: Champion the adoption of AI and automation across operations teams. Build awareness, drive excitement, and help partners see how emerging technology can enhance their work. • Technology Orchestration: Serve as the connection between Operations teams and technical teams (systems engineering, data science, automation). Ensure the right problems are being solved with the right tools, and that solutions land effectively. • Opportunity Identification: Partner closely with fellow Operations teammates to understand workflows, pain points, and high-value opportunities where automation or AI can improve speed, accuracy, or scalability. • Adoption & Change Management: Own the rollout of new AI/automation capabilities into operations. Drive training, feedback loops, and iteration to ensure tools are adopted and delivering value. • Roadmap & Prioritization: Maintain a portfolio of automation and AI initiatives. Prioritize based on business impact, feasibility, and operational readiness. Write narratives (BRDs, PRFAQs) that connect technology
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