Poesis
AI-native investment manager building foundation models for equity markets.
Company facts
- Founded
- 2024
- Employees
- 10
- Headquarters
- United States
- Type
- Private
- Funding
- Seed · 2024
Open positions
Member of Technical Staff | Quantitative Finance
Poesis, an AI-native investment firm, is hiring a Member of Technical Staff (Quantitative Finance) to turn financial research into production systems — preparing large financial datasets, building models and agents, and creating scalable backtesting and evaluation tooling that inform live investment decisions.
Member of Technical Staff | Machine Learning
Machine learning engineer at Poesis, an AI-native investment firm, building predictive models, signals, and rigorous evaluation systems from large financial and alternative datasets that feed real autonomous trading and portfolio decisions. Hybrid role: 3 days/week on-site in Menlo Park, CA.
Member of Technical Staff | Agentic AI
Experienced software engineer to build Poesis's agentic AI platform for investing: designing scalable agent architecture, agent-driven investment workflows, and evaluation/observability systems that keep frontier-model agents reliable in production. Hybrid role, 3 days/week on-site in Menlo Park.