AmazonFinance Manager, Inbound Operations, North American Customer Fulfillment
Amazon is hiring a Finance Manager, Inbound Operations, North American Customer Fulfillment in Seattle, United States. It pays $105k-$180k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Uses AI ●●○○ is how Level rates this finance role: an ordinary role that requires AI tools.
- The listed pay starts close to the typical finance posting on Level.
- Tools and skills the posting cites include AI Dashboards, Automation Tools and financial analysis.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Drive financial process standardization and automation using AI-powered dashboards and analytics for North American customer fulfillment operations.
In this position, you will develop scalable financial controllership frameworks that grow independently of building count and support the transformation from a site-centric to hub-based structure. You'll translate complex operational metrics into actionable financial insights, balance standardization with network-specific needs, and contribute to AI-enabled finance transformation initiatives that have tangible business impact. If you thrive in an environment where speed matters and continuous improvement is expected, this role offers the perfect balance of strategic thinking and tactical execution.
Key job responsibilities
Analyze operational data to provide financial insights that optimize costs and drive business performance, applying your understanding of Amazon's financial processes and internal controls to existing products and tools.
Develop and utilize AI-powered dashboards for anomaly detection and trend analysis, transforming complex data into clear, actionable insights for senior leadership.
Partner with operations teams to validate business case assumptions, track performance metrics, and contribute to automated reporting systems that reduce manual work by 40-50%.
Conduct risk assessments and implement improvements to remediate gaps, ensuring reporting accuracy by diving deep into data discrepancies and executing fixes.
Collaborate across finance, operations, supply chain, and technology teams to develop standardized investment evaluation processes and financial playbooks that scale independently of building count.
A day in the life
Your day begins with analyzing operational data to identify cost optimization opportunities across the Inbound Operations network. You'll spend time developing or refining AI-powered dashboards that automatically detect anomalies and visualize trends. Throughout the day, you'll partner with operations teams to validate business assumptions, contribute to automated reporting systems, and participate in cross-functional councils where you'll provide financial perspectives on placement and quality strategy decisions. You'll balance your analytical work with collaborative sessions, driving data quality improvements and system integration while validating productivity metrics.
About the team
Our team supports multiple different networks that is the entry point of volume into the Amazon Fulfillment network, playing a critical role as financial advocates and business partners. We design, develop, and maintain performance measurements and reporting on strategic input drivers to continuously improve the economics of the business. Team members partner closely with a broad range of Senior Leaders in Finance, Operations, Supply Chain, Engineering, and Technology.
The team culture emphasizes data-driven decision making, continuous improvement, and cross-functional collaboration. We're transforming traditional finance functions through technology and process excellence, focusing on controllership as our top priority while driving innovation that enables our networks to scale efficiently.
About the team
This role will partner closely with a broad range of Senior Leaders in Finance, Operations, Supply Chain, Engineering, Procurement, Accounting, HR and Technology. This role plays a critical role as a financial advocate and business partner. This role will design, develop, and maintain performance measurements and reporting on strategic input drivers to continuously improve the economics of the business.
Basic qualifications
- Bachelor's degree or above in Finance, Accounting, Business, Economics or a highly analytical field (e.g., Engineering, Math, and Computer Science)
- 5+ years of finance or a related analytical field experience
Preferred qualifications
- 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
- 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience
- MBA, or CPA
- Knowledge of SQL/ETL
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
- Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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, NY, New York - 104,900.00 - 179,500.00 USD annually
USA, TN, Nashville - 85,900.00 - 146,900.00 USD annually
USA, TX, Irving - 95,400.00 - 163,200.00 USD annually
USA, VA, Arlington - 95,400.00 - 163,200.00 USD annually
USA, WA, Seattle - 95,400.00 - 163,200.00 USD annually
How we rate this
Finance Manager, Inbound Operations, North American Customer Fulfillment at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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
Pay
- This job starts at
- $105k
- Typical finance job
- $105k
This posting starts close to the typical finance job. See finance jobs
Questions you could be asked
- Tell me about a project where financial analysis was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where process automation was part of your work. What did you do?
- Tell me about a project where cost optimization was part of your work. What did you do?
- Walk me through how you've used AI Dashboards in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Financial Analysis, Data Analytics, Process Automation, Cost Optimization, and AI Dashboards. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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