Aleph is revolutionizing Financial Planning & Analysis (FP&A) by building the definitive source of truth for business data. Founded by Albert Gozzi and Santiago Perez De Rosso (Stanford/MIT alumni), and backed by prestigious VCs like Bain Capital Ventures and Khosla Ventures, Aleph serves notable customers including Turo, Notion, and Zapier.
As a Research Engineer in the Applied AI team, you'll be at the forefront of developing AI agents for financial planning and analysis. The role focuses on leveraging LLMs to automate financial workflows while ensuring explainable and reliable outputs. You'll work closely with product and design teams to push the boundaries of AI applications in FP&A.
The company operates remotely across the Americas, offering a unique opportunity to work on cutting-edge AI technology in the finance sector. Aleph's platform centralizes financial data from various sources (Quickbooks, Netsuite, Salesforce) and integrates it seamlessly with existing finance team tools.
The role requires strong technical expertise in AI/ML, particularly with LLMs, combined with a product-minded approach and solid understanding of algorithms and data structures. You'll be responsible for developing novel techniques, building prototypes, and delivering scalable solutions that directly impact financial decision-making processes.
This position offers the chance to join a rapidly growing startup that's disrupting the multi-billion dollar FP&A software market with an innovative approach that has already demonstrated impressive results through minimal churn and efficient growth.