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Description

Are you passionate about shaping the financial future of novel artificial general intelligence technology? Join our team as we revolutionize AI inference capacity and cost structure management. In this role, you'll partner with Amazon's AGI Nova runtime team to develop innovative financial strategies that support our rapidly expanding AI products and services.

You will drive critical financial analyses and planning that inform strategic decision-making across Amazon's AGI initiatives. By leveraging your problem-solving expertise and cross-team collaboration skills, you'll help optimize our GenAI inference capabilities while ensuring financial sustainability as we scale.

Key job responsibilities

- Research technical, operational, and financial details to understand AGI Nova runtime business drivers, develop insights, and represent this financial perspective in cross-functional discussions with finance, engineering and product teams.

- Partner with the AGI Nova runtime and AWS Bedrock teams to analyze inference capacity requirements and develop cost structures that balance technological innovation with financial sustainability.

- Organize work effectively by setting clear priorities, determining resource requirements for financial planning, monitoring progress of initiatives, and evaluating outcomes against established metrics.

- Create new and novel inference usage reporting and metrics focused on internal adoption of AGI’s Nova products and services.

- Anticipate and adapt to rapidly changing priorities in the evolving AGI landscape, making sound decisions with limited information to accomplish objectives in novel situations.

A day in the life

Your role will require close collaboration across AGI Finance, AGI Nova runtime and AGI Product teams to understand customer usage and inferencing capacity metrics of AGI’s Nova products and services. This means you’re on the front lines helping to identify anomalies in the data to help influence the financial margins of AGI’s Nova GenAI products and services.

About the team

The Nova runtime team is at the forefront of Amazon's artificial general intelligence initiatives, developing the infrastructure that powers our most sophisticated AI models. Our mission is to build best-in-class, fast, accurate, and cost-efficient frontier model inference solutions and infrastructure that will enable Amazon businesses to deliver more value to their customers.

Basic Qualifications

- 3+ 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)

Preferred Qualifications

- 3+ years of building financial and operational reports/data sets that inform business decision-making experience

- Experience partnering with business leaders in highly complex and dynamic business settings

- Experience in corporate finance including budgeting/planning, forecasting and reporting

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $60,200/year in our lowest geographic market up to $128,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.