Finance Manager, Amazon AI Lab
About the role
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!
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
Amazon's Artificial General Intelligence (AGI) Team mission is to build the world’s 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. We're entering an exciting new era where AI agents are the next playing field; the right research bets can reinvent what’s possible with AI. We’d love for you to join our new lab and build it from the ground up!
Basic Qualifications
- 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
- 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
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
- 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
Company Information
American, CA, San Francisco - 104,900.00 - 179,500.00 USD annually