---
title: 'Head of Engineering at Poesis'
canonical: 'https://feeny.ai/job/head-of-engineering-poesis-san-francisco-01h98a2a5hd6'
type: 'job'
last_seen: '2026-09-09'
---

# Head of Engineering at Poesis

- **Company:** Poesis
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-11
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/poesis/1818e0b6-4244-4fcb-8431-934963d8e67c

## 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

As Head of Engineering at Poesis, you'll have the opportunity to define the technical foundation of an AI-native investment manager from the ground up. Working alongside the CEO, Chief Scientist and an exceptional technical team, you'll take a hands-on role in solving complex engineering challenges at the intersection of frontier AI, autonomous agents, large-scale data and quantitative research. You'll lead translating frontier AI research into production systems capable of making real investment decisions while building the engineering organization and technical culture that will power the company's next stage of growth. If you're excited about applying frontier AI to one of the world's most complex domains, this is a unique opportunity to build the systems that will define how it's done.

## CHALLENGES YOU'LL WORK ON

- Designing point-in-time data architectures that preserve historical accuracy, reproducibility and research integrity.
- Designing the infrastructure that enables autonomous agents to collaborate reliably in production.
- Building research platforms that power feature generation, back-testing and model evaluation.
- Reducing the time required to transform new research into production investment capabilities.

## ABOUT YOU

- You’ve worked at a frontier AI lab, agentic startup, high-growth technology company, top investment manager, or similar.
- You've designed shared infrastructure that accelerated research, experimentation and production at scale.
- You enjoy building alongside a small, highly technical team and leading by example.
- You balance long-term architectural thinking with a bias toward shipping and continuous iteration.
- You know how to attract, develop and challenge exceptional engineers while creating a culture of technical rigor and continuous improvement.
- You're comfortable operating with ambiguity, making thoughtful decisions and adapting as new information becomes available.
- You communicate clearly, welcome constructive debate and value evidence over ego.

## NICE TO HAVE

- Experience building AI platforms, quantitative research infrastructure or production systems for systematic investing, quantitative finance or AI-driven investment research.
- MS/PhD in Computer Science, or related field

## 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 in our Menlo Park office, 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/)

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