---
title: 'Member of Technical Staff | Production & Trading Platform at Poesis'
canonical: 'https://feeny.ai/job/member-of-technical-staff-production-trading-platform-poesis-menlo-park-nmy83ysnzwh4'
type: 'job'
last_seen: '2026-11-11'
---

# Member of Technical Staff | Production & Trading Platform at Poesis

- **Company:** Poesis
- **Location:** Menlo Park, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-11-06
- **Last confirmed live:** 2026-11-11
- **Apply:** https://jobs.ashbyhq.com/poesis/7e33c2fb-d6de-44e4-98b6-cfdc1e7446a7

## Job description

## 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.

## About Poesis

## Company Overview
- **One-liner**: Poesis is an AI-native investment manager building a foundation model for investing, using modular AI systems to predict market movements and outperform legacy managers.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: Not publicly available
- **Founders**: Alex Popa (Founder & CEO), Charles Elkan (Chief Scientist)

## Core Business
- **Primary industry**: AI-powered asset management / hedge fund management
- **Target customers**: Institutional investors, asset managers, and clients seeking AI-driven alpha generation (B2B)
- **Mission or purpose**: “Build up a scale manager that never gets tired, predicts change earlier, and delivers consistent outcomes for clients in a world being reshaped by intelligence.”

## Products & Services
- **Large Investment Model (LIM)**: A single AI foundation model that powers every product—predicts markets, constructs portfolios, and manages risk. It is continuously trained on live capital markets data.
- **AI Agents**: Teams of modular, specialized agents that execute prediction, portfolio construction, and risk management tasks, democratizing access to alpha.

## Market Standing
- **Valuation**: $3 million (estimated, 2025 – per GetLatka)
- **Key Metric**: Annual Recurring Revenue of $990K (estimated ARR for 2025 – per GetLatka); bootstrapped with no outside funding
- **Notable Investors/Partners**: None (bootstrapped)
- **Growth Signals**: Headcount grew 100% YoY (7 employees on LinkedIn, ~9 on other sources); active hiring for Head of Engineering, Machine Learning Engineer, and Quantitative Developer; LinkedIn follower growth +4.3% monthly

## Competitive Advantages
- First mover in building a **foundation model specifically for investing** (the Large Investment Model)
- Team composed of senior talent from **Capital Group, Goldman Sachs, and Amazon**—combining deep capital markets experience with AI expertise
- Modular, agent-based architecture that can rapidly adapt to market changes
- Real-world validation through live capital deployment (training on actual trading)

## Strategic Focus
- Scale the Large Investment Model to cover more asset classes and geographies
- Continue hiring top-tier AI and engineering talent (founding roles for ML engineers, quant developers, and engineering lead)
- Deliver consistent, systematic outperformance for clients through AI-native investment strategies

## Why Work Here
- **Culture**: Fast-moving startup environment with mentorship and high ownership; “build alongside investors and technologists reinventing the future of finance and AI”
- **Work model**: Hybrid (employees work both remotely and on-site; office in Palo Alto, CA)
- **Perks**: High-quality dental, vision, and health care; relocation support available
- **Visa sponsorship**: No H-1B sponsorship history found
- **Engineering focus**: Good learning environment for building production-scale AI systems; roles include founding-level impact

## Sources
1. [poesis.ai](https://poesis.ai/)
2. [LinkedIn – Poesis AI](https://www.linkedin.com/company/poesisai)
3. [Built In – Poesis Inc.](https://builtin.com/company/poesis-inc)
4. [GetLatka – Poesis AI](https://getlatka.com/companies/poesis.ai)
5. [Scoutify – Poesis Careers](https://scoutify.com/companies/poesis/)

## Other roles at Poesis

- [Head of AI](https://feeny.ai/job/head-of-ai-poesis-zurich-n5g2ah6wmsg4) — Zurich, Switzerland
- [Member of Technical Staff | Data Engineering, Finance](https://feeny.ai/job/member-of-technical-staff-data-engineering-finance-poesis-menlo-park-76y28rbhdhap) — Menlo Park, CA
- [Member of Technical Staff | Quantitative Finance](https://feeny.ai/job/member-of-technical-staff-quantitative-finance-poesis-menlo-park-1w1nvw9w85nb) — Menlo Park, CA
- [Member of Technical Staff | Machine Learning](https://feeny.ai/job/member-of-technical-staff-machine-learning-poesis-menlo-park-q01hcr8xgkpw) — Menlo Park, CA
- [Member of Technical Staff | Agentic AI](https://feeny.ai/job/member-of-technical-staff-agentic-ai-poesis-menlo-park-456wbxpqnsa5) — Menlo Park, CA