Finance Manager, Project Kuiper
Amazon is hiring a Finance Manager, Project Kuiper in Bellevue, United States. It pays $95k-$163k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this finance role: aI is not part of the work.
- Tools and skills the posting cites include AI agents, financial modeling and data analysis.
- Level classifies it as a senior role.
- Level lists 21,000+ other open roles at Amazon.
- The role was posted within the past week.
AI in this role
Finance Manager to own and scale Business Assurance capabilities across revenue and cost processes for Project Kuiper.
The successful candidate will be entrepreneurial by nature, a strategic thinker, analytical in approach, have a demonstrated ability to develop financial models that provide intelligence for business decisions. This role requires a self-starter with superb business modeling skills, a keen attention to detail, and ability to work in a fast-paced environment.
Finance Manager in Biz Ops Finance org. will support Senior Manager and Director in defining the Business Assurance strategy and implementation of Business Assurance controls across the Kuiper work streams. The Finance Manager is also responsible for tracking and holding the business partners accountable for performance against the OP and R&O plans and providing insights on drivers for variances. This requires the Finance Manager to exercise Financial Controllership and develop actionable analysis of the financial impact of changing business needs. This requires the role to Dive Deep and index strongly on Are Right, A Lot.
Key job responsibilities
The Finance Manager will own and scale Business Assurance capabilities across revenue, cost, and end-to-end business processes, combining financial analysis, controllership, data, automation, and cross-functional execution to protect financial outcomes and identify opportunities to improve margins.
Own Revenue & Cost Assurance: Analyze end-to-end revenue and cost flows to identify leakage, financial risks, control gaps, and margin improvement opportunities. Develop and operate preventive and detective controls that improve financial accuracy and strengthen controllership.
Lead Financial Analytics & Opportunity Identification: Extract and analyze financial and operational data to identify anomalies, trends, revenue opportunities, cost inefficiencies, and opportunities to improve business performance.
Develop and Scale Assurance Controls: Design, implement, validate, and continuously improve revenue and cost assurance audits, controls, risk indicators, and monitoring mechanisms. Lead discrepancy investigation, root-cause analysis, remediation, and reporting.
Support Product and Business Launches: Represent Business Assurance in enterprise initiatives from feasibility and requirements definition through implementation and post-launch validation. Assess financial risks, define control requirements, validate system and transaction flows, and ensure financial requirements are incorporated into product design.
Evaluate Offers and Business Initiatives: Partner with Product, Marketing, Finance, and Business teams to evaluate new offers, pricing, promotions, and business models for financial and operational risks. Perform post-launch analysis to validate implementation accuracy, financial outcomes, and underlying business-case assumptions.
Drive Process Improvement: Review existing business and financial processes, identify control and operational gaps, and work with cross-functional partners to prioritize and implement scalable improvements.
Own Productionization & Adoption: Take Agenting AI capabilities from prototypes to supported, documented, reusable products. Own rollout, onboarding, adoption, operating mechanisms, and long-term sustainability so capabilities continue to scale beyond their original creators.
Strengthen the Data Foundation: Partner with Data Engineering, BIEs, and Finance teams to establish reliable and curated data feeds supporting management reporting, strategic insights, and assurance detection. Establish standards for data quality, lineage, access, reconciliation, and monitoring.
Automate Business Assurance Operations: Build agentic workflows, automated monitoring, dashboards, status mechanisms, and escalation processes that reduce manual coordination and investigation. Apply AI and automation to improve detection, investigation, reporting, and operational efficiency.
Establish Horizontal Standards: Define reusable standards for assurance controls, data quality, governance, detection logic, reporting, and productization that can be adopted across BizOps areas including Customer Support, Field Services, Supply Chain, Delivery, and GTM.
Serve as the Cross-Functional Connector: Bring together Finance, Accounting, Product, Engineering, Data/Science, Business Operations, and external partners to eliminate silos, resolve dependencies, and establish common financial metrics, controls, and detection logic.
Lead and Develop the Business Assurance Squad: Work alongside BIEs and other technical resources embedded within Business Assurance, establish engineering and delivery patterns, prioritize the roadmap, mentor team members, and build capabilities that enable the organization to operate at scale.
Communicate Insights and Influence Decisions: Document and present audit results, financial analyses, risks, root causes, recommendations, and business opportunities to Finance and business leadership. Translate complex financial and operational findings into clear actions and measurable outcomes.
Basic qualifications
- 6+ years of applying key financial performance indicators (KPIs) to analyses experience
- 6+ years of building financial and operational reports/data sets that inform business decision-making experience
- 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- 5+ years of leading cross-functional initiatives that drive financial performance and strategy experience
- 5+ years of dissecting financial data and identifying patterns that support business strategy experience
- 5+ years of finance, accounting, or related analytical field experience
- Bachelor's degree in business, finance, accounting, tax, economics, or a related analytical field
- Can meet export control requirements by being a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum
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 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, WA, BELLEVUE - 95,400.00 - 163,200.00 USD annually
How we rate this
Finance Manager, Project Kuiper 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.
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.
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 finance jobs at this level
Pay
- This job starts at
- $95k
- Typical finance job
- $107k
This posting starts 11% below the typical finance job. See finance 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 financial modeling 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 financial controllership was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Financial Modeling, Data Analysis, Financial Controllership, and Automation. 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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