Sobre esta oferta
- Empresa
- Poesis
- Fuente
- poesis.ai · página de empleo
- Publicado
- 6 Nov 2026 · hace 2 días
- Modalidad
- Híbrido
- Lugar
- Menlo Park, Estados Unidos
- Patrocinio
- Indicado en la oferta de empleo
Los datos de visado y mudanza se leen automáticamente de la oferta de empleo. Confírmalos siempre con la empresa.
Patrocinio de visado
Poesis patrocina el visado de trabajo para este puesto.
- Visado de trabajo patrocinado
- Ayuda para la mudanza
- Confirma los detalles con la empresa
Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees.
Mudanza
La oferta incluye ayuda o un presupuesto para mudarte.
El puesto
About Poesis
Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native investment firm running autonomous agents that predict markets, construct portfolios, and manage risk. Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at Goldman Sachs and Amazon. We're building a new type of firm, where live capital is the training ground for an intelligence that compounds with every signal.
About the Role
At Poesis, we're building an AI-native investment firm where intelligent systems drive investment research, portfolio construction and trading decisions. As a Member of Technical Staff, you'll build the systems that connect our investment strategies to the markets, from financial data and signal generation to order execution, trade reconciliation and monitoring. You'll help lay the foundation for a new kind of investment firm, where AI-driven decisions translate seamlessly into reliable production systems and live trading.
Challenges You'll Work On
Build the production infrastructure that connects AI-driven investment decisions to live financial markets, from data and signals through trading.
Solve complex engineering challenges around reliability, scalability and precision in systems where performance directly impacts investment outcomes.
Build AI agents to automate workflows, validate pipeline operations and outputs and reduce the complexity and manual processes of traditional investment firms.
Own the trading day end-to-end, including alerting, incident response, and runbooks, while providing trading coverage alongside our trader.
About You
You have deep, hands-on experience building production trading and order pipeline systems in a quantitative investment firm, hedge fund, asset manager or similar environment.
You've worked extensively with financial data pipelines, signal generation, portfolio construction, order management or trade lifecycle infrastructure, including institutional trading platforms or broker connectivity.
You have experience designing and operating reliable, scalable production systems and automated workflows.
Nice to Have
You have built production software from the ground up at an early-stage investment firm.
You have built, evaluated, and refined LLM agents that do real work in production
Location
Hybrid, 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available.
Benefits
We offer excellent medical, dental, and vision coverage, alongside a strong benefits package that includes catered lunches, commuter benefits, and more.
Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees.
Working at Poesis
As an early team member, you’ll help shape not just the product, but how the company operates. Your decisions will have lasting impact across the business. You’ll build from first principles, with no legacy systems, or entrenched processes slowing you down. Our team is made up of people from elite companies and universities who are low ego, collaborative, and excited to build together.