--- title: 'Member of Technical Staff | Agentic AI at Poesis' canonical: 'https://feeny.ai/job/member-of-technical-staff-agentic-ai-poesis-menlo-park-456wbxpqnsa5' type: 'job' last_seen: '2026-11-04' --- # Member of Technical Staff | Agentic AI at Poesis - **Company:** Poesis - **Location:** Menlo Park, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-13 - **Last confirmed live:** 2026-11-04 - **Apply:** https://jobs.ashbyhq.com/poesis/39e11ea0-7bb7-425a-8be2-3ee4725cafc1 ## 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 are pioneering AI for investing, opening the door to improved alpha discovery, higher quality decision-making and intelligent risk management. AI agents are a core part of how we make this a reality and we’re looking for an experienced software engineer to help lead our agentic efforts. The work sits at the intersection of frontier models and production engineering, exploring what new models and harnesses make possible and turning those capabilities into real systems. This is a unique opportunity to help define how frontier AI is used in investing and shape the technical direction of our agent platform from an early stage. Challenges You'll Work On - Design and build the architecture behind a scalable, reliable agent platform that evolves as models advance - Design and build agent-driven workflows and systems for complex investment problems. - Develop evaluation, observability and feedback systems that make agents more reliable and capable over time. - Solve the infrastructure and deployment challenges of running agents reliably in production. ## About You - You’ve built agent systems at a frontier AI lab, agentic startup, top fund, big tech company, or similar. - You’ve deployed agents in production and know what it takes to make them reliable. - You have experience with orchestration, tool use, context management and grounding. - You understand agent failure modes and have built the evaluations and observability needed to diagnose and improve them. - You understand financial markets and have a strong interest in investing. - You have a BS/MS/PhD in Computer Science or a related field, or equivalent practical experience. ## Nice to Have - Experience working with unstructured financial data and data providers (Bloomberg, Capital IQ, Refinitiv). - Experience with agent safety, sandboxing or guardrails in high-stakes environments. 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