Finance Manager, AGI Finance
Posted 53 days ago
Job Description
This job posting has expired and no longer accepting applications.
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 directly 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 engineering and product teams.
- Partner with the AGI Nova runtime team to analyze inference capacity requirements and develop cost structures that balance technological innovation with financial sustainability.
- Establish and maintain positive working relationships with stakeholders throughout the organization, collaborating to solve complex GenAI inference challenges and achieve financial goals.
- Anticipate and adapt to rapidly changing priorities in the evolving AGI landscape, making sound decisions with limited information to accomplish objectives in novel situations.
- Organize work effectively by setting clear priorities, determining resource requirements for financial planning, monitoring progress of initiatives, and evaluating outcomes against established metrics.
A day in the life
Your role will require close collaboration with the 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 any upstream issues requiring immediate attention that could lead to downstream financial implications. Your work and findings will directly 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.
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 engineering and product teams.
- Partner with the AGI Nova runtime team to analyze inference capacity requirements and develop cost structures that balance technological innovation with financial sustainability.
- Establish and maintain positive working relationships with stakeholders throughout the organization, collaborating to solve complex GenAI inference challenges and achieve financial goals.
- Anticipate and adapt to rapidly changing priorities in the evolving AGI landscape, making sound decisions with limited information to accomplish objectives in novel situations.
- Organize work effectively by setting clear priorities, determining resource requirements for financial planning, monitoring progress of initiatives, and evaluating outcomes against established metrics.
A day in the life
Your role will require close collaboration with the 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 any upstream issues requiring immediate attention that could lead to downstream financial implications. Your work and findings will directly 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.
This job posting has expired and no longer accepting applications. Please check out our latest AI jobs.
Amazon
117 jobs posted
About the job
Posted on
Jan 7, 2026
Apply before
Feb 6, 2026
Job typeFull-time
CategoryArtificial General Intelligence
Location
US, WA
Similar Jobs
DeepMind
10 days agoDirector AGI Economics
London, United KingdomView detailsAmazon
26 days agoExecutive Assistant (Contract), AGI
US, CAView detailsAmazon
17 days agoApplied Scientist, AGI Foundations
US, MAView detailsAmazon
18 days agoPrincipal Applied Scientist, Amazon AGI
US, CAView detailsAmazon
23 days agoMember of Technical Staff, AGI Autonomy
US, CAView detailsAmazon
19 days agoSenior Data Associate with German, AGI Data Services
PolandView detailsAmazon
18 days agoSr Data Associate with French, AGI-Data Services
PolandView detailsAmazon
18 days agoAI Data Associate with French, AGI-Data Services
PolandView detailsAmazon
12 days agoAI Data Associate with German, AGI-Data Services
NetherlandsView detailsAmazon
12 days agoData Entry Clerk with German, AGI-Data Services
NetherlandsView details
Looking for something different?
Browse all AI jobsNever miss a new AI job
Get the latest AI jobs delivered to your inbox every week. Free, no spam.
