AmazonFinance Manager, Sales and Account Management
Amazon is hiring a Finance Manager, Sales and Account Management 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 sales role: an ordinary role that requires AI tools.
- Tools and skills the posting cites include AI agents, p l management and financial modeling.
- Level classifies it as a senior role.
- Level lists 22,000+ other open roles at Amazon.
- The role was posted within the past week.
AI in this role
Finance Manager leading strategic financial planning while designing and deploying AI agents to scale operations.
The ideal candidate is a self-starter who thrives in ambiguity, can translate complex financial data into actionable narratives, and is passionate about influencing business outcomes through financial partnership.
Key job responsibilities
- Own end-to-end P&L management for SAS and NSR, including forecasting, variance analysis, and financial reporting,
- Serve as the primary finance partner to SAS and NSR business leaders (Directors), providing strategic guidance on P&L management, investment decisions, headcount planning, and resource allocation,
- Lead Monthly Financial Reviews (MFRs) and Quarterly Business Reviews (QBRs), delivering clear visibility into performance drivers and key input metrics (selection, pricing, inventory...),
- Develop and maintain financial models to evaluate business proposals, program ROI, and scenario analyses,
- Identify and communicate risks and opportunities through deep-dive analysis, and recommend actionable mitigation strategies,
- Partner cross-functionally with New Seller Recruitment Team, Strategic Account Services Team , Business Intelligence teams to ensure data accuracy and alignment on planning assumptions,
- Support goal-setting frameworks and reporting processes,
- Develop and automate reporting mechanisms to improve efficiency and scalability of financial processes,
- Champion AI-driven innovation by designing and deploying AI agents and knowledge bases for SAS and NSR that scale business operations and automate workflows,
- Influence business strategy by providing data-driven insights on seller economics, fee structures, and program effectiveness.
A day in the life
Your morning might start with reviewing the latest seller performance and identifying trends in SAS seller attribution or NSR recruitment metrics. By mid-morning, you're in a working session with the NSR program lead, aligning on goal-setting assumptions and refining the financial model for an upcoming business review.
After lunch, you join a cross-functional meeting with the SAS program team to walk through variance drivers from the latest MFR, explaining how seller enrollments, headcount changes, or program investments are impacting the P&L. You provide clear, concise narratives that help leadership understand the "so what" behind the numbers.
Later in the afternoon, you're building a scenario analysis for a new seller incentive proposal, stress-testing assumptions and quantifying the expected ROI. Before wrapping up, you connect with your finance peers to align on planning inputs for the upcoming OP2 cycle.
No two days are exactly alike, but every day involves a blend of analytical deep-dives, strategic partnership, and storytelling through data.
Basic qualifications
- 5+ years of applying key financial performance indicators (KPIs) to analyses experience
- 5+ years of building financial and operational reports/data sets that inform business decision-making experience
- 5+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- 5+ years of finance, accounting, or related analytical field experience
- Bachelor's degree in finance, accounting or related field
Preferred qualifications
- 5+ 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
- 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 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, NY, New York - 104,900.00 - 179,500.00 USD annually
USA, WA, Seattle - 95,400.00 - 163,200.00 USD annually
How we rate this
Finance Manager, Sales and Account Management at Amazon rates 50 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
Also common in sales jobs at this level
Pay
- This job starts at
- $105k
- Typical sales job
- $140k
This posting starts 25% below the typical sales job. See sales jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where p l management was part of your work. What did you do?
- Tell me about a project where financial modeling was part of your work. What did you do?
- Tell me about a project where forecasting was part of your work. What did you do?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Adapt your resume
- List these exact terms on your resume: AI agents, P L Management, Financial Modeling, and Forecasting. 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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