Head of Engineering

poesis; Edison (NJ); Hybrid; USD 240,000 - 340,000; Full time

Benefits offered by this job

Medical insurance

Catered lunches

Commuter benefits

Job summary

Poesis seeks a Head of Engineering to define the technical foundation of an AI‑native investment manager. You’ll work closely with the CEO and Chief Scientist to translate frontier AI research into production systems and to grow a high‑caliber engineering organization.

You’ll lead designing scalable data architectures, autonomous agent infrastructure, and research platforms, while balancing long‑term design with shipping velocity in a fast‑growing company.

Qualifications

• Led engineering teams or tech org at scale.
• Designed shared infrastructure to accelerate research and production.
• Experience building frontiers AI/agentic systems is a plus.
• Strong communication and leadership in fast‑moving environments.

Responsibilities

• Define the technical foundation for an AI‑native investment platform from the ground up.
• Translate frontier AI research into production systems for live decision making.
• Build and mentor a small, elite engineering team and foster a culture of rigor and iteration.
• Shape the engineering organization and development practices to scale with the company.

Skills

Technical leadership

Distributed systems

AI/ML infrastructure

Production systems

Data architectures

People management

Communication

Education

MS/PhD in CS or related

Tools

Kubernetes

AWS/GCP

Terraform

CI/CD

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, 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.