Product Finance Analyst

What You Will Do

• Help manage cloud economics for Snowflake. Track actuals vs. forecast, dig into variances, and continuously iterate to improve accuracy.
• Answer detailed questions around cloud and AI unit economics (CPC, CPTB, token economics, inference costs). Enable critical strategic decision making with insightful data and analysis.
• Identify problems and abnormalities in infrastructure and AI spend and work to resolve them to minimize business impact. Provide recommendations to reduce COGS/OpEx and improve margin.
• Build out tooling in Snowflake, Streamlit, or BI tools to manage CSP and AI spend. Focus on scaling processes and reporting.
• Be a strong adopter of AI in workflows. Use LLMs, Cortex, or similar tools.
• Be an expert on cost reporting structure across AWS, Azure, and GCP, and develop point of view on economics of AI workloads (training, inference, serving).
• Work closely with Accounting team on monthly close process by providing guidance on COGS/R&D classification.
• Become a trusted business partner to Engineering and Product Management teams on cloud and AI spend.

What You Will Need

• New grad to 2 years of experience in Finance, Accounting, Management Consulting, or related analytical field. Experience in SaaS alongside Engineering and Analytics teams is a plus.
• Strong business intuition.
• Proficient in SQL, solid Excel skills. Python and BI tool experience is a plus.
• Comfort working with and presenting to senior stakeholders.
• Solid problem solving ability and experience with ambiguity.
• Good understanding of GAAP, or eagerness to learn.
• Ability to communicate complex technical concepts simply.
• Thirst for knowledge and iterative improvement.

Preferred:

• Experience analyzing cost and usage data from AWS, Azure, or GCP. FinOps certification nice to have.
• Bachelor's in Finance, Accounting, Economics, CS, Data Science, or related quantitative field.