Head of Engineering

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.

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.

• 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.
  

• 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.
  

• 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

Hybrid: 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available.

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.

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.