Finance Manager, Sales and Account Management

North America Seller Business (NASB) Finance Team is seeking a Finance Manager to serve as the strategic finance partner for Strategic Account Services (SAS) and New Seller Recruitment (NSR) businesses. In this role, you will own end-to-end P&L management, deliver financial insights that drive business decisions, and partner closely with senior business leaders to optimize performance and accelerate growth. You will play a critical role in shaping the financial strategy for programs that directly impact Amazon's third-party seller ecosystem, from recruiting new sellers to scaling the success of established ones.

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