The AI profit engine behind the world's most impactful businesses. Serving finance & ops teams from mid-market to F500. Backed by General Catalyst.
About the role
You'll build the AI agent capabilities that power Sapien's financial and operational intelligence. This means designing novel architectures for reasoning over complex financial and operational data, implementing verifiable and observable agent workflows, and building systems that learn and adapt to each company's unique operations.
What they're looking for
- Strong algorithmic thinking. Demonstrated through ML research, competitive programming, mathematics, or building novel systems from scratch
- Experience with modern agent frameworks, LLMs, and AI systems: fine-tuning, retrieval augmentation, tool use, or agentic architectures
- Comfort working end-to-end: from implementing research ideas and prototyping architectures to deploying production systems and iterating on real customer feedback
More about this role
Sapien is the engine behind the world’s most important companies. We build agents that learn how a business works from its financial and operational data: its language, operations, and economics. That understanding helps people find opportunities, make better decisions, and act.
We work with complex businesses, from manufacturers and restaurant groups to the Fortune 500. Teams at companies including Bayer, Cooper Standard, Blink Charging, Carlex, and Odeko use Sapien to understand their businesses and improve how they run. Our ambition is to build the self-optimizing company by making its people and systems dramatically more capable.
We’re headquartered by Madison Square Park in NYC, with $15M+ raised and backing from General Catalyst, Neo, and operators from OpenAI, Google, Microsoft, Ramp, and Stripe. We’re bringing together AI researchers, engineers, and operators to build intelligence for the people who build everything else.
You'll build the AI agent capabilities that power Sapien's financial and operational intelligence. This means designing novel architectures for reasoning over complex financial and operational data, implementing verifiable and observable agent workflows,...
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