Finance Manager, Amazon AI Lab

Amazon is hiring a highly effective Finance Manager to partner with the Artificial General Intelligence (AGI) lab in San Francisco on building practical AI that can actually do things for us and make our customers more productive empowered and fulfilled. The role will be the local CFO with daily interactions with leaders from science software development and product teams. This team is really excited about the work in combining large language models (LLMs) with reinforcement learning (RL) to solve reasoning and planning learned world models and generalizing agents to physical environments. If you want to apply your financial acumen to deliver insights and drive high-velocity decision making to help shape how AI agents perform real-world actions learn from human feedback self-course-correct and infer our goals then this role is for you!

A successful candidate will love to learn and be curious and dive deep to understand and identify business trends analyze quantitatively problem-solve and prioritize. Strong oral and written communication skills are crucial as well as the ability to work autonomously with a proven work ethic and track record of delivering results.

Key job responsibilities
-Build and maintain in depth knowledge across key business areas by staying current on initiatives goals business challenges and opportunities spanning a wide surface area for the SF research lab and product team
-Own financial planning cycles and month end close with a focus on data investments AWS compute usage and employee resourcing to support rapidly evolving business requirements
-Partner with the business to design and implement key performance indicators and reporting solutions to drive insights and enable quicker and more effective decision making to achieve critical goals
-Identify quantify and drive operational and cost saving initiatives focused on productivity efficiency and cost avoidance across multiple products and services

About the team
Amazons Artificial General Intelligence (AGI) Team mission is to build the worlds best Artificial General Intelligence that will enable every Amazon business to deliver more value to its customers and benefits humanity. The SF research lab is a small talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk high-payoff research. Were entering an exciting new era where AI agents are the next playing field; the right research bets can reinvent whats possible with AI. Wed love for you to join our new lab and build it from the ground up!

- 5 years of tax finance or a related analytical field experience
- 5 years of leading cross-functional initiatives that drive financial performance and strategy experience
- Bachelors degree in finance accounting business economics or a related analytical field (e.g. engineering math computer science) or Bachelors 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

- 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
- 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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region youre applying in isnt 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 CA San Francisco - 104900.00 - 179500.00 USD annually