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Finance Manager, AWS Services GenAI

Amazon is hiring a Finance Manager, AWS Services GenAI in Seattle, United States. It pays $95k-$163k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this finance role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include SQL, Oracle and SAP.
  • Level classifies it as a senior role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead end-to-end financial planning, modeling, and strategy for AWS Generative AI services and feature launches.

SQLOracleSAP
financial-planningforecastinggenerative-aifinancial-modeling
Amazon Web Services (AWS) is seeking a Finance Manager to join the AWS GenAI team. In this role, you will own end-to-end finance support for Generative AI services, including revenue and OpEx management, planning, and deep dives. You will also drive strategic new Generative AI feature launches and lead process improvements across the organization.

The successful candidate will communicate effectively, manage multiple time-sensitive deliverables across a highly matrixed organization, and proactively manage risks and opportunities. Strong business partnership skills are essential, as you will collaborate closely with key stakeholders across the business.

Key job responsibilities
- Lead financial planning; build complex financial models and analytical tools to measure overall financial performance.
- Own Generative AI services end to end, influencing business decisions that drive revenue and/or capital expenditures.
- Identify opportunities for efficiency improvements, including automation and coordination with upstream and downstream organizations.
- Partner with finance teams across AWS to standardize, streamline, and prioritize improvements, remove roadblocks, and increase the reliability and efficiency of reporting.

Basic qualifications

- 5+ years of tax, finance or a related analytical field experience
- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience
- 5+ years of dissecting financial data and identifying patterns that support business strategy experience
- 5+ years of leading cross-functional initiatives that drive financial performance and strategy experience

Preferred qualifications

- 5+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
- 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
- MBA, or CPA
- 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, Seattle - 95,400.00 - 163,200.00 USD annually

How we rate this

Finance Manager, AWS Services GenAI at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Financial PlanningForecastingGenerative AIFinancial ModelingSQLOracleSAP

Also common in finance jobs at this level

Pay

This job starts at
$95k
Typical finance job
$105k

This posting starts 9% below the typical finance job. See finance jobs

Questions you could be asked

  1. Tell me about a project where financial planning was part of your work. What did you do?
  2. Tell me about a project where forecasting was part of your work. What did you do?
  3. Tell me about a project where generative ai was part of your work. What did you do?
  4. Tell me about a project where financial modeling was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Financial Planning, Forecasting, Generative AI, Financial Modeling, and SQL. 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.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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